Upload 11 files
Browse files- Dockerfile +40 -0
- app.py +120 -0
- build_faiss_index.py +38 -0
- faiss_index.bin +3 -0
- filtered_search_engine.py +83 -0
- final_recommender.py +66 -0
- index_mapping.csv +1332 -0
- intent_classifier.py +130 -0
- keyword_boosting_layer.py +186 -0
- requirements.txt +14 -0
- salahkar_enhanced.csv +0 -0
Dockerfile
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# ---- Base Image ----
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FROM python:3.10-slim
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# ---- System Dependencies ----
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RUN apt-get update && apt-get install -y \
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git \
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wget \
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build-essential \
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libopenblas-dev \
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&& rm -rf /var/lib/apt/lists/*
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# ---- Workspace Setup ----
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WORKDIR /app
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# ---- Copy Requirements ----
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COPY requirements.txt .
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# ---- Install Python Dependencies ----
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RUN pip install --no-cache-dir -r requirements.txt
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# ---- Copy Project Files ----
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COPY . .
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# ---- Optional: Cache Sentence Transformer Model On Build ----
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RUN python - <<EOF
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from sentence_transformers import SentenceTransformer, CrossEncoder
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print("Downloading embedding model...")
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SentenceTransformer("sentence-transformers/paraphrase-multilingual-mpnet-base-v2")
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print("Downloading intent model...")
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SentenceTransformer("all-MiniLM-L6-v2")
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print("Downloading reranker model...")
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CrossEncoder("cross-encoder/ms-marco-MiniLM-L-6-v2")
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print("All models cached.")
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EOF
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# ---- Expose Required Port ----
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EXPOSE 7860
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# ---- Run API ----
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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app.py
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from fastapi import FastAPI, Query
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from fastapi.middleware.cors import CORSMiddleware
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import pandas as pd
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from filtered_search_engine import SmartRecommender
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from reranker import Reranker
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from intent_classifier import IntentClassifier
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from keyword_boosting_layer import apply_keyword_boost
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# ------------------------------
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# Initialize App
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# ------------------------------
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app = FastAPI(
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title="Salahkar AI Recommender",
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description="Smart cultural, heritage & food recommendation engine for BharatVerse",
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version="1.0.0"
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)
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from fastapi.staticfiles import StaticFiles
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# CORS Support (allows frontend browser access)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Mount images folder to serve static files
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app.mount("/images", StaticFiles(directory="images"), name="images")
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# ------------------------------
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# Load Core Components Once
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# ------------------------------
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print("📌 Loading dataset...")
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df = pd.read_csv("salahkar_enhanced.csv")
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print("📌 Loading smart recommendation engine...")
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engine = SmartRecommender()
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print("📌 Loading reranker model...")
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reranker = Reranker()
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print("📌 Loading intent recognizer...")
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intent_detector = IntentClassifier()
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print("🚀 Salahkar AI Ready!")
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# ------------------------------
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# Routes
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# ------------------------------
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@app.get("/")
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def root():
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return {
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"message": "🇮🇳 Welcome to Salahkar AI – BharatVerse Intelligent Recommendation System",
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"usage": "/recommend?query=your text"
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}
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@app.get("/recommend")
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def get_recommendation(query: str = Query(..., description="User's search text"), k: int = 7):
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print(f"\n🔍 User Query: {query}")
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# 1️⃣ Detect intent
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detected_intent = intent_detector.predict_intent(query)
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print(f"🧠 Intent Detected: {detected_intent}")
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# 2️⃣ FAISS + Filter Search
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results = engine.recommend(query, k=k)
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# 3️⃣ Prepare results for reranker
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prepared = []
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for name, domain, category, region, score in results:
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row = df[df["name"] == name].iloc[0]
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prepared.append({
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"name": name,
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"domain": domain,
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"category": category,
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"region": region,
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"embedding_score": float(score),
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"text": row["search_embedding_text"],
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"image": row["image_file"]
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})
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# 4️⃣ Re-rank using cross encoder
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reranked_results = reranker.rerank(query, prepared)
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# 5️⃣ Apply keyword boosting
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final_results = apply_keyword_boost(query, reranked_results)
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# 6️⃣ Format response for frontend
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response = [
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{
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"name": item["name"],
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"category": item["category"],
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"domain": item["domain"],
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"region": item["region"],
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"score": float(item["final_score"]),
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"image": f"/images/{item['image']}" if item.get("image") else None
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}
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for item in final_results[:k]
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]
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return {
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"query": query,
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"intent": detected_intent,
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"results": response
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}
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# -------------------------------------------
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# Run (Ignored by HuggingFace — needed only for local testing)
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# -------------------------------------------
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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build_faiss_index.py
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import pandas as pd
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import numpy as np
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import faiss
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from sentence_transformers import SentenceTransformer
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MODEL_NAME = "sentence-transformers/paraphrase-multilingual-mpnet-base-v2"
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DATA_FILE = "salahkar_enhanced.csv"
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OUTPUT_INDEX = "faiss_index.bin"
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OUTPUT_MAPPING = "index_mapping.csv"
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print("📌 Loading dataset...")
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df = pd.read_csv(DATA_FILE)
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print("📌 Loading embedding model...")
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model = SentenceTransformer(MODEL_NAME)
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print("📌 Generating embeddings...")
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if "search_embedding_text" not in df.columns:
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print("⚠ 'search_embedding_text' column missing. Using 'name' instead.")
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texts = df["name"].astype(str).tolist()
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else:
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texts = df["search_embedding_text"].astype(str).tolist()
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embeddings = model.encode(texts, normalize_embeddings=True)
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embeddings = np.array(embeddings).astype("float32")
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print("📌 Building FAISS index...")
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dimension = embeddings.shape[1]
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index = faiss.IndexFlatIP(dimension)
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index.add(embeddings)
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print("📌 Saving FAISS index...")
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faiss.write_index(index, OUTPUT_INDEX)
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print("📌 Saving index mapping...")
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df[["name", "domain", "category", "region"]].to_csv(OUTPUT_MAPPING, index=False)
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print("\n🎉 SUCCESS: New FAISS index created and synced with dataset!")
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faiss_index.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:37c126cb829f19d3ad2ebb46ce229d6e17fcd10c943c6fac5bb266f34b92d729
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size 4088877
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filtered_search_engine.py
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"""
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FILE: 05_filtered_search_engine.py
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PURPOSE:
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- Combine intent understanding with semantic similarity
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- Filter dataset BEFORE vector search for better accuracy
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- Return ranked recommendations with metadata
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"""
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import numpy as np
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import pandas as pd
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import faiss
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from sentence_transformers import SentenceTransformer
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from intent_classifier import classify_intent # <-- imports previous file
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# ---------------- CONFIG ----------------
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INDEX_FILE = "faiss_index.bin"
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MAPPING_FILE = "index_mapping.csv"
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MODEL_NAME = "sentence-transformers/paraphrase-multilingual-mpnet-base-v2"
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DATA_FILE = "salahkar_enhanced.csv"
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# ----------------------------------------
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class SmartRecommender:
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def __init__(self):
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print("📌 Loading resources...")
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self.df = pd.read_csv(DATA_FILE)
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self.mapping = pd.read_csv(MAPPING_FILE)
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self.index = faiss.read_index(INDEX_FILE)
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self.model = SentenceTransformer(MODEL_NAME)
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# Normalize categories to lowercase for matching
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self.df["domain_normalized"] = self.df["domain"].str.lower()
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self.df["category_normalized"] = self.df["category"].str.lower()
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self.df["region_normalized"] = self.df["region"].str.lower()
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print("✨ Smart Recommender Ready")
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def recommend(self, query, k=7):
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print("\n🔍 User Query:", query)
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intent = classify_intent(query)
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print(f"🧠 Detected Intent: {intent}")
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# Embed the query
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vec = self.model.encode([query], normalize_embeddings=True)
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vec = np.array(vec, dtype="float32").reshape(1, -1)
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# Search in full FAISS with wider net (NO HARD FILTERING)
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scores, ids = self.index.search(vec, k=300)
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results = []
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for i, score in zip(ids[0], scores[0]):
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record = self.mapping.iloc[i]
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results.append({
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"name": record["name"],
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"domain": record["domain"],
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+
"category": record["category"],
|
| 61 |
+
"region": record["region"],
|
| 62 |
+
"score": score,
|
| 63 |
+
"intent": intent # Pass intent for boosting later
|
| 64 |
+
})
|
| 65 |
+
|
| 66 |
+
if len(results) >= 200:
|
| 67 |
+
break
|
| 68 |
+
|
| 69 |
+
print("\n🎯 Top Recommendations (Pre-Rerank):")
|
| 70 |
+
for rank, item in enumerate(results[:5]):
|
| 71 |
+
print(f"{rank+1}. {item['name']} | {item['domain']} | Score: {round(float(item['score']), 3)}")
|
| 72 |
+
|
| 73 |
+
return results, intent
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
if __name__ == "__main__":
|
| 77 |
+
bot = SmartRecommender()
|
| 78 |
+
|
| 79 |
+
# Run tests
|
| 80 |
+
bot.recommend("romantic historical place india")
|
| 81 |
+
bot.recommend("spicy south indian breakfast")
|
| 82 |
+
bot.recommend("temple for peace and meditation")
|
| 83 |
+
bot.recommend("best festival sweets india")
|
final_recommender.py
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
| 1 |
+
"""
|
| 2 |
+
FINAL SMART RECOMMENDER SYSTEM
|
| 3 |
+
Embeddings + Intent + Filtering + Reranking + Keyword Boosting
|
| 4 |
+
"""
|
| 5 |
+
|
| 6 |
+
from filtered_search_engine import SmartRecommender
|
| 7 |
+
from reranker import Reranker
|
| 8 |
+
from keyword_boosting_layer import apply_keyword_boost # <-- booster imported
|
| 9 |
+
import pandas as pd
|
| 10 |
+
|
| 11 |
+
class FinalSalahkar:
|
| 12 |
+
|
| 13 |
+
def __init__(self):
|
| 14 |
+
print("✨ Initializing Final AI Recommender...")
|
| 15 |
+
self.engine = SmartRecommender()
|
| 16 |
+
self.reranker = Reranker()
|
| 17 |
+
self.df = pd.read_csv("salahkar_enhanced.csv")
|
| 18 |
+
print("🚀 System Ready!")
|
| 19 |
+
|
| 20 |
+
def ask(self, query, k=7):
|
| 21 |
+
print("\n==============================================")
|
| 22 |
+
print(f"🧠 INPUT QUERY → {query}")
|
| 23 |
+
print("==============================================")
|
| 24 |
+
|
| 25 |
+
# STEP 1 → BASE SEARCH (filtered FAISS)
|
| 26 |
+
# Now returns (results_list, detected_intent)
|
| 27 |
+
results, intent = self.engine.recommend(query, k=k)
|
| 28 |
+
|
| 29 |
+
# STEP 2 → Prepare embedding text for reranking
|
| 30 |
+
prepared = []
|
| 31 |
+
for item in results:
|
| 32 |
+
name = item["name"]
|
| 33 |
+
# Find the full row for this item
|
| 34 |
+
row = self.df[self.df["name"] == name].iloc[0]
|
| 35 |
+
|
| 36 |
+
prepared.append({
|
| 37 |
+
"name": name,
|
| 38 |
+
"domain": item["domain"],
|
| 39 |
+
"category": item["category"],
|
| 40 |
+
"region": item["region"],
|
| 41 |
+
"embedding_score": item["score"],
|
| 42 |
+
"text": row["search_embedding_text"],
|
| 43 |
+
"intent": intent # Pass intent for boosting
|
| 44 |
+
})
|
| 45 |
+
|
| 46 |
+
# STEP 3 → Cross-Encoder Reranking
|
| 47 |
+
ranked = self.reranker.rerank(query, prepared)
|
| 48 |
+
|
| 49 |
+
# STEP 4 → Keyword Boost (final scoring)
|
| 50 |
+
boosted = apply_keyword_boost(query, ranked)
|
| 51 |
+
|
| 52 |
+
# STEP 5 → Display final sorted results
|
| 53 |
+
print("\n🏆 FINAL SMART RANKED RESULTS:")
|
| 54 |
+
for i, item in enumerate(boosted[:k]):
|
| 55 |
+
print(f"{i+1}. {item['name']} | Final Score: {round(item['final_score'], 3)}")
|
| 56 |
+
|
| 57 |
+
return boosted
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
if __name__ == "__main__":
|
| 61 |
+
bot = FinalSalahkar()
|
| 62 |
+
|
| 63 |
+
bot.ask("romantic historical place india")
|
| 64 |
+
bot.ask("spiritual peaceful temple")
|
| 65 |
+
bot.ask("best south indian spicy breakfast")
|
| 66 |
+
bot.ask("sweet festival food india")
|
index_mapping.csv
ADDED
|
@@ -0,0 +1,1332 @@
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
name,domain,category,region
|
| 2 |
+
Red Fort,heritage,Fort,Delhi
|
| 3 |
+
Taj Mahal,heritage,Mausoleum,Agra
|
| 4 |
+
Qutub Minar,heritage,Tower,Delhi
|
| 5 |
+
Hawa Mahal,architecture,Palace,Jaipur
|
| 6 |
+
Gateway of India,heritage,Monument,Mumbai
|
| 7 |
+
Masala Dosa,food,Breakfast,South India
|
| 8 |
+
Butter Chicken,food,Main Course,North India
|
| 9 |
+
Biryani,food,Main Course,Hyderabad
|
| 10 |
+
Pani Puri,food,Snack,Pan India
|
| 11 |
+
Vada Pav,food,Snack,Maharashtra
|
| 12 |
+
Golden Temple,heritage,Temple,Amritsar
|
| 13 |
+
Ajanta Caves,heritage,Caves,Aurangabad
|
| 14 |
+
Ellora Caves,heritage,Caves,Aurangabad
|
| 15 |
+
Idli Sambhar,food,Breakfast,South India
|
| 16 |
+
Pav Bhaji,food,Snack,Maharashtra
|
| 17 |
+
Dhokla,food,Snack,Gujarat
|
| 18 |
+
Gajar Ka Halwa,food,Dessert,North India
|
| 19 |
+
Rasgulla,food,Dessert,West Bengal
|
| 20 |
+
Chole Bhature,food,Main Course,Punjab
|
| 21 |
+
Samosa,food,Snack,Pan India
|
| 22 |
+
City Palace Jaipur,heritage,Palace,Jaipur
|
| 23 |
+
Charminar,heritage,Monument,Hyderabad
|
| 24 |
+
Konark Sun Temple,heritage,Temple,Konark
|
| 25 |
+
Rani ki Vav,heritage,Stepwell,Patan
|
| 26 |
+
Dal Baati Churma,food,Main Course,Rajasthan
|
| 27 |
+
Rajma Chawal,food,Main Course,North India
|
| 28 |
+
Dosa Mysore,food,Main Course,South India
|
| 29 |
+
Dal Makhani,food,Main Course,Punjab
|
| 30 |
+
Poha,food,Breakfast,Madhya Pradesh
|
| 31 |
+
Kheer,food,Dessert,Pan India
|
| 32 |
+
Gulab Jamun,food,Dessert,Pan India
|
| 33 |
+
Appam with Stew,food,Main Course,South India
|
| 34 |
+
Hyderabadi Haleem,food,Main Course,Telangana
|
| 35 |
+
Pesarattu,food,Breakfast,South India
|
| 36 |
+
Khajuraho Temples,heritage,Temple,Khajuraho
|
| 37 |
+
Mysore Palace,heritage,Palace,Mysuru
|
| 38 |
+
Victoria Memorial,heritage,Museum,Kolkata
|
| 39 |
+
Brihadeeswara Temple,heritage,Temple,Thanjavur
|
| 40 |
+
Amer Fort,heritage,Fort,Jaipur
|
| 41 |
+
Jantar Mantar Jaipur,heritage,Observatory,Jaipur
|
| 42 |
+
Sanchi Stupa,heritage,Buddhist Monument,Sanchi
|
| 43 |
+
Ranthambore Fort,heritage,Fort,Ranthambore
|
| 44 |
+
Somnath Temple,heritage,Temple,Somnath
|
| 45 |
+
Golconda Fort,heritage,Fort,Hyderabad
|
| 46 |
+
Aloo Paratha,food,Breakfast,Punjab
|
| 47 |
+
Paneer Tikka,food,Starter,North India
|
| 48 |
+
Chicken 65,food,Starter,South India
|
| 49 |
+
Thali Gujarati,food,Meal,Gujarat
|
| 50 |
+
Malai Kofta,food,Main Course,North India
|
| 51 |
+
Puttu Kadala,food,Breakfast,Kerala
|
| 52 |
+
Bhutte Ka Kees,food,Snack,Madhya Pradesh
|
| 53 |
+
Rogan Josh,food,Main Course,Kashmir
|
| 54 |
+
Sarson ka Saag and Makki ki Roti,food,Main Course,Punjab
|
| 55 |
+
Thepla,food,Snack,Gujarat
|
| 56 |
+
Lavani Thali,food,Main Course,Maharashtra
|
| 57 |
+
Modak,food,Dessert,Maharashtra
|
| 58 |
+
Peda Mathura,food,Dessert,Uttar Pradesh
|
| 59 |
+
Dabeli,food,Snack,Gujarat
|
| 60 |
+
Chicken Chettinad,food,Main Course,Tamil Nadu
|
| 61 |
+
Varkala Beach,nature,Beach,Varkala
|
| 62 |
+
Rishikesh,travel,Spiritual Town,Uttarakhand
|
| 63 |
+
Andaman Cellular Jail,heritage,Historic Site,Port Blair
|
| 64 |
+
Coorg,nature,Hill Station,Coorg
|
| 65 |
+
Ooty Botanical Gardens,nature,Garden,Ooty
|
| 66 |
+
Darjeeling,nature,Hill Station,Darjeeling
|
| 67 |
+
Jaisalmer Desert Safari,travel,Adventure,Jaisalmer
|
| 68 |
+
Chennai Marina Beach,nature,Beach,Chennai
|
| 69 |
+
Nainital Lake,nature,Lake,Nainital
|
| 70 |
+
Shillong,nature,Hill Station,Shillong
|
| 71 |
+
Spiti Valley,nature,Himalayan Valley,Lahaul-Spiti
|
| 72 |
+
Lonavala,nature,Hill Station,Lonavala
|
| 73 |
+
Alleppey Backwaters,travel,Backwaters,Alappuzha
|
| 74 |
+
Meenakshi Temple,heritage,Temple,Madurai
|
| 75 |
+
Mahabalipuram Shore Temple,heritage,Temple,Mahabalipuram
|
| 76 |
+
Momos,food,Snack,Northeast India
|
| 77 |
+
Idiyappam,food,Breakfast,South India
|
| 78 |
+
Sambar Rice,food,Main Course,South India
|
| 79 |
+
Kadhi Pakora,food,Main Course,North India
|
| 80 |
+
Sambar Vada,food,Snack,South India
|
| 81 |
+
Payasam,food,Dessert,South India
|
| 82 |
+
Kesari Bath,food,Dessert,South India
|
| 83 |
+
Kosha Mangsho,food,Main Course,West Bengal
|
| 84 |
+
Pongal,food,Breakfast,South India
|
| 85 |
+
Chicken Korma,food,Main Course,Mughlai
|
| 86 |
+
Amritsar Kulcha,food,Breakfast,Punjab
|
| 87 |
+
Paniyaram,food,Snack,South India
|
| 88 |
+
Besan Ladoo,food,Dessert,Pan India
|
| 89 |
+
Chikki,food,Snack,Maharashtra
|
| 90 |
+
Besan Chilla,food,Snack,North India
|
| 91 |
+
Nagarhole National Park,nature,Wildlife,Coorg
|
| 92 |
+
Jim Corbett National Park,nature,Wildlife,Ramnagar
|
| 93 |
+
Khajjiar,nature,Hill Station,Khajjiar
|
| 94 |
+
Gangtok,nature,Capital Town,Gangtok
|
| 95 |
+
Tawang Monastery,heritage,Monastery,Tawang
|
| 96 |
+
Hampi,heritage,Ruins,Hampi
|
| 97 |
+
Ghoomar Dance Experience,cultural,Cultural Activity,Udaipur
|
| 98 |
+
Kathakali Show,cultural,Cultural Show,Kochi
|
| 99 |
+
Pushkar Camel Fair,cultural,Fair,Pushkar
|
| 100 |
+
Hornbill Festival,cultural,Festival,Kisama
|
| 101 |
+
Biryani Kolhapuri,food,Main Course,Maharashtra
|
| 102 |
+
Rabri,food,Dessert,Rajasthan
|
| 103 |
+
Sheer Kurma,food,Dessert,Pan India
|
| 104 |
+
Idli Upma,food,Snack,South India
|
| 105 |
+
Chicken Momos,food,Snack,Himalayan Region
|
| 106 |
+
Chole Kulche,food,Snack,North India
|
| 107 |
+
Mutton Biryani Lucknowi,food,Main Course,Uttar Pradesh
|
| 108 |
+
Parota with Curry,food,Main Course,South India
|
| 109 |
+
Puran Poli,food,Dessert,Maharashtra
|
| 110 |
+
Pootharekulu,food,Dessert,Andhra Pradesh
|
| 111 |
+
Ajmer Sharif Dargah,heritage,Shrine,Ajmer
|
| 112 |
+
Basilica of Bom Jesus,heritage,Church,Old Goa
|
| 113 |
+
Elephanta Caves,heritage,Caves,Mumbai
|
| 114 |
+
Vivekananda Rock Memorial,heritage,Monument,Kanyakumari
|
| 115 |
+
Salar Jung Museum,heritage,Museum,Hyderabad
|
| 116 |
+
Bhature with Paneer Gravy,food,Main Course,North India
|
| 117 |
+
Khichdi,food,Main Course,Pan India
|
| 118 |
+
Undhiyu,food,Main Course,Gujarat
|
| 119 |
+
Chocolate Burfi,food,Dessert,Pan India
|
| 120 |
+
Chana Jor Garam,food,Snack,Pan India
|
| 121 |
+
Bhindi Fry,food,Main Course,Pan India
|
| 122 |
+
Keema Pav,food,Snack,Mumbai
|
| 123 |
+
Paya Soup,food,Main Course,Hyderabad
|
| 124 |
+
Paneer Butter Masala,food,Main Course,North India
|
| 125 |
+
Machher Jhol,food,Main Course,West Bengal
|
| 126 |
+
Ghee Roast Dosa,food,Breakfast,South India
|
| 127 |
+
Matar Paneer,food,Main Course,North India
|
| 128 |
+
Chicken Angara,food,Main Course,North India
|
| 129 |
+
Laal Maas,food,Main Course,Rajasthan
|
| 130 |
+
Anda Curry,food,Main Course,Pan India
|
| 131 |
+
Belur Chennakesava Temple,heritage,Temple,Belur
|
| 132 |
+
Kedarnath Temple,heritage,Temple,Kedarnath
|
| 133 |
+
Amarnath Cave Temple,heritage,Pilgrimage,Pahalgam
|
| 134 |
+
Jagannath Temple,heritage,Temple,Puri
|
| 135 |
+
Kaziranga National Park,nature,Wildlife,Golaghat
|
| 136 |
+
Manali,nature,Hill Station,Manali
|
| 137 |
+
Kutch White Desert,travel,Desert,Kutch
|
| 138 |
+
Har Ki Dun,travel,Trekking,Garhwal
|
| 139 |
+
Araku Valley,nature,Hill Station,Araku
|
| 140 |
+
Vellore Golden Temple,heritage,Temple,Vellore
|
| 141 |
+
Chitradurga Fort,heritage,Fort,Chitradurga
|
| 142 |
+
Sun Temple Modhera,heritage,Temple,Modhera
|
| 143 |
+
Neemrana Fort Palace,heritage,Fort,Neemrana
|
| 144 |
+
Saint Mary's Basilica,heritage,Church,Bangalore
|
| 145 |
+
Kavadi Chauth Temple,heritage,Temple,Shivpuri
|
| 146 |
+
Sambar Idiyappam,food,Breakfast,South India
|
| 147 |
+
Shorshe Ilish,food,Main Course,Bengal
|
| 148 |
+
Pathrode,food,Snack,Karnataka
|
| 149 |
+
Chicken Sukka,food,Main Course,Mangalore
|
| 150 |
+
Kothimbir Vadi,food,Snack,Maharashtra
|
| 151 |
+
Tandoori Roti,food,Bread,North India
|
| 152 |
+
Thukpa,food,Main Course,Himalayan Region
|
| 153 |
+
Tamarind Rice Puliyogare,food,Main Course,South India
|
| 154 |
+
Tulaipanji Rice Dish,food,Main Course,West Bengal
|
| 155 |
+
Bisi Bele Bath,food,Main Course,Karnataka
|
| 156 |
+
Aamras Puri,food,Dessert/Guilt Meal,Gujarat
|
| 157 |
+
Mysore Pak,food,Dessert,Karnataka
|
| 158 |
+
Poornalu,food,Dessert,Andhra Pradesh
|
| 159 |
+
Kaapi Filter Coffee,food,Beverage,South India
|
| 160 |
+
Kachori Sabzi,food,Breakfast,Rajasthan
|
| 161 |
+
Shaniwar Wada,heritage,Fort,Pune
|
| 162 |
+
Umaid Bhawan Palace,heritage,Palace,Jodhpur
|
| 163 |
+
Sirpur Buddhist Monastery,heritage,Monastery,Sirpur
|
| 164 |
+
Bhangarh Fort,heritage,Fort,Bhangarh
|
| 165 |
+
Patwon Ki Haveli,heritage,Haveli,Jaisalmer
|
| 166 |
+
Kalimpong,nature,Hill Station,Kalimpong
|
| 167 |
+
Mount Abu Dilwara Temples,heritage,Jain Temple,Mount Abu
|
| 168 |
+
Sudama Setu,heritage,Bridge,Dwarka
|
| 169 |
+
Bidhannagar Rabindra Tirtha,heritage,Cultural Center,Kolkata
|
| 170 |
+
Chitrakote Waterfall,nature,Waterfall,Bastar
|
| 171 |
+
Dhokar Dalna,food,Main Course,West Bengal
|
| 172 |
+
Chhena Poda,food,Dessert,Odisha
|
| 173 |
+
Dum Aloo Kashmiri,food,Main Course,Kashmir
|
| 174 |
+
Murgh Malai Tikka,food,Starter,North India
|
| 175 |
+
Hara Bhara Kebab,food,Starter,North India
|
| 176 |
+
Paya Nihari,food,Main Course,North India
|
| 177 |
+
Majjige Huli,food,Main Course,Karnataka
|
| 178 |
+
Gongura Pachadi,food,Side Dish,Andhra Pradesh
|
| 179 |
+
Sattu Sharbat,food,Beverage,Bihar
|
| 180 |
+
Dal Dhokli,food,Main Course,Gujarat
|
| 181 |
+
Litti Chokha,food,Main Course,Bihar
|
| 182 |
+
Sol Kadi,food,Beverage,Goa
|
| 183 |
+
Chicken Rezala,food,Main Course,Kolkata
|
| 184 |
+
Mango Pickle Achar,food,Condiment,Pan India
|
| 185 |
+
Rasmalai,food,Dessert,Bengal
|
| 186 |
+
Banganapalle Mangoes,food,Fruit,Andhra Pradesh
|
| 187 |
+
Tilkut,food,Dessert,Bihar
|
| 188 |
+
Bebinca,food,Dessert,Goa
|
| 189 |
+
Srikhand,food,Dessert,Maharashtra
|
| 190 |
+
Kappa Biryani,food,Main Course,Kerala
|
| 191 |
+
Ranthambore National Park,nature,Wildlife,Sawai Madhopur
|
| 192 |
+
Saputara,nature,Hill Station,Saputara
|
| 193 |
+
Nubra Valley,nature,Himalayan Valley,Ladakh
|
| 194 |
+
Harsil,travel,Hill Village,Harsil
|
| 195 |
+
Mawsynram,travel,Weather Phenomenon,Meghalaya
|
| 196 |
+
Chilika Lake,nature,Lagoon,Puri
|
| 197 |
+
Kondapalli Fort,heritage,Fort,Vijayawada
|
| 198 |
+
Tripolia Gate,heritage,Gate,Pilani
|
| 199 |
+
Sair Sapata,heritage,Recreational Landmark,Bhopal
|
| 200 |
+
Kottayam Vembanad Lake,nature,Lake,Kottayam
|
| 201 |
+
Chicken Mandi,food,Main Course,Hyderabad
|
| 202 |
+
Pootharekulu Chocolate,food,Dessert,Andhra Pradesh
|
| 203 |
+
Kappa Meen Curry,food,Main Course,Kerala
|
| 204 |
+
Aam Panna,food,Beverage,Pan India
|
| 205 |
+
Puri Bhaji,food,Breakfast,Pan India
|
| 206 |
+
Appam Egg Curry,food,Main Course,Kerala
|
| 207 |
+
Sarva Pindi,food,Snack,Telangana
|
| 208 |
+
Makkhan Malai,food,Dessert,Lucknow
|
| 209 |
+
Kokum Sharbat,food,Beverage,Konkan
|
| 210 |
+
Chur Chur Naan,food,Main Course,North India
|
| 211 |
+
Bokaro Steel City Park,travel,Urban Park,Bokaro
|
| 212 |
+
Ganga Sagar Island,nature,Island,Kolkata
|
| 213 |
+
Chilka Bird Sanctuary,nature,Bird Reserve,Puri
|
| 214 |
+
Thalassery Fort,heritage,Fort,Thalassery
|
| 215 |
+
Kevadiya Viewing Gallery,travel,Viewpoint,Kevadiya
|
| 216 |
+
Barrackpore Mangal Pandey Park,heritage,Memorial,Kolkata
|
| 217 |
+
Mawsmai Caves,heritage,Limestone Caves,Cherrapunji
|
| 218 |
+
Bekal Fort,heritage,Fort,Bekal
|
| 219 |
+
Jog Waterfalls,nature,Waterfall,Shimoga
|
| 220 |
+
McLeodGanj,nature,Tibetan Town,Dharamshala
|
| 221 |
+
Lotus Temple,heritage,Temple,Delhi
|
| 222 |
+
Akshardham Temple,heritage,Temple,Delhi
|
| 223 |
+
Gol Gumbaz,heritage,Mausoleum,Vijayapura
|
| 224 |
+
Fatehpur Sikri,heritage,Historic City,Agra
|
| 225 |
+
Sundarbans National Park,nature,Wildlife,Sundarbans
|
| 226 |
+
Valley of Flowers,nature,National Park,Chamoli
|
| 227 |
+
Pangong Lake,nature,Lake,Ladakh
|
| 228 |
+
Ghevar,food,Dessert,Rajasthan
|
| 229 |
+
Lassi,food,Beverage,Punjab
|
| 230 |
+
Misal Pav,food,Snack,Maharashtra
|
| 231 |
+
Kulfi,food,Dessert,Pan India
|
| 232 |
+
Kumbh Mela,cultural,Festival,Prayagraj
|
| 233 |
+
Durga Puja,cultural,Festival,Kolkata
|
| 234 |
+
Dudhsagar Falls,nature,Waterfall,Goa
|
| 235 |
+
Dal Bafla,food,Main Course,Madhya Pradesh
|
| 236 |
+
Sev Tamatar,food,Main Course,Gujarat
|
| 237 |
+
Petha,food,Dessert,Agra
|
| 238 |
+
Bedmi Puri,food,Breakfast,Agra
|
| 239 |
+
Tehri,food,Main Course,Uttar Pradesh
|
| 240 |
+
Singhara Ki Sabzi,food,Main Course,North India
|
| 241 |
+
Pinni,food,Dessert,Punjab
|
| 242 |
+
Gajak,food,Dessert,Morena
|
| 243 |
+
Neer Dosa,food,Breakfast,Mangalore
|
| 244 |
+
Rava Dosa,food,Breakfast,South India
|
| 245 |
+
Mirchi Bajji,food,Snack,Hyderabad
|
| 246 |
+
Unniyappam,food,Snack,Kerala
|
| 247 |
+
Kozhikode Biryani,food,Main Course,Kozhikode
|
| 248 |
+
Avial,food,Main Course,Kerala
|
| 249 |
+
Curd Rice,food,Main Course,South India
|
| 250 |
+
Chettinad Fish Fry,food,Starter,Tamil Nadu
|
| 251 |
+
Sabudana Khichdi,food,Breakfast,Maharashtra
|
| 252 |
+
Zunka Bhakar,food,Main Course,Maharashtra
|
| 253 |
+
Khandvi,food,Snack,Gujarat
|
| 254 |
+
Patra,food,Snack,Gujarat
|
| 255 |
+
Basundi,food,Dessert,Gujarat
|
| 256 |
+
Vindaloo,food,Main Course,Goa
|
| 257 |
+
Xacuti,food,Main Course,Goa
|
| 258 |
+
Luchi Aloo Dum,food,Breakfast,Bengal
|
| 259 |
+
Misti Doi,food,Dessert,Bengal
|
| 260 |
+
Pakhala Bhata,food,Main Course,Odisha
|
| 261 |
+
Chenna Poda,food,Dessert,Odisha
|
| 262 |
+
Thekua,food,Snack,Bihar
|
| 263 |
+
Bamboo Shoot Curry,food,Main Course,Nagaland
|
| 264 |
+
Apong,food,Beverage,Arunachal Pradesh
|
| 265 |
+
Iromba,food,Main Course,Manipur
|
| 266 |
+
Humayun's Tomb,heritage,Mausoleum,Delhi
|
| 267 |
+
Jama Masjid,heritage,Mosque,Delhi
|
| 268 |
+
Agrasen ki Baoli,heritage,Stepwell,Delhi
|
| 269 |
+
Gwalior Fort,heritage,Fort,Gwalior
|
| 270 |
+
Jhansi Fort,heritage,Fort,Jhansi
|
| 271 |
+
Orchha Fort,heritage,Fort,Orchha
|
| 272 |
+
Chittorgarh Fort,heritage,Fort,Chittorgarh
|
| 273 |
+
Kumbhalgarh Fort,heritage,Fort,Kumbhalgarh
|
| 274 |
+
Mehrangarh Fort,heritage,Fort,Jodhpur
|
| 275 |
+
Bada Imambara,heritage,Monument,Lucknow
|
| 276 |
+
Chota Imambara,heritage,Monument,Lucknow
|
| 277 |
+
Murud Janjira,heritage,Fort,Raigad
|
| 278 |
+
Daulatabad Fort,heritage,Fort,Aurangabad
|
| 279 |
+
Bibi Ka Maqbara,heritage,Mausoleum,Aurangabad
|
| 280 |
+
Warangal Fort,heritage,Ruins,Warangal
|
| 281 |
+
Thousand Pillar Temple,heritage,Temple,Hanamkonda
|
| 282 |
+
Lepakshi Temple,heritage,Temple,Lepakshi
|
| 283 |
+
Padmanabhaswamy Temple,heritage,Temple,Thiruvananthapuram
|
| 284 |
+
Mattancherry Palace,heritage,Palace,Kochi
|
| 285 |
+
Gingee Fort,heritage,Fort,Villupuram
|
| 286 |
+
Dhanushkodi,heritage,Ruins,Rameswaram
|
| 287 |
+
Nalanda University,heritage,Ruins,Nalanda
|
| 288 |
+
Mahabodhi Temple,heritage,Temple,Bodh Gaya
|
| 289 |
+
Vikramshila Ruins,heritage,Ruins,Bhagalpur
|
| 290 |
+
Rumtek Monastery,heritage,Monastery,Gangtok
|
| 291 |
+
Unakoti,heritage,Rock Carvings,Unakoti
|
| 292 |
+
Kamakhya Temple,heritage,Temple,Guwahati
|
| 293 |
+
Periyar National Park,nature,Wildlife,Thekkady
|
| 294 |
+
Bandipur National Park,nature,Wildlife,Bandipur
|
| 295 |
+
Gir National Park,nature,Wildlife,Gir
|
| 296 |
+
Tadoba National Park,nature,Wildlife,Chandrapur
|
| 297 |
+
Pench National Park,nature,Wildlife,Seoni
|
| 298 |
+
Kanha National Park,nature,Wildlife,Mandla
|
| 299 |
+
Hemis National Park,nature,Wildlife,Ladakh
|
| 300 |
+
Loktak Lake,nature,Lake,Moirang
|
| 301 |
+
Rann of Kutch,travel,Desert,Kutch
|
| 302 |
+
Yumthang Valley,nature,Valley,Lachung
|
| 303 |
+
Dzukou Valley,nature,Valley,Kohima
|
| 304 |
+
Munnar,nature,Hill Station,Munnar
|
| 305 |
+
Wayanad,nature,Hill Station,Wayanad
|
| 306 |
+
Kodaikanal,nature,Hill Station,Kodaikanal
|
| 307 |
+
Gokarna,nature,Beach,Gokarna
|
| 308 |
+
Pondicherry,nature,Coastal Town,Pondicherry
|
| 309 |
+
Havelock Island,nature,Beach,Andaman
|
| 310 |
+
Dawki River,nature,River,Dawki
|
| 311 |
+
Living Root Bridges,travel,Nature,Cherrapunji
|
| 312 |
+
Bihu Festival,cultural,Festival,Assam
|
| 313 |
+
Onam,cultural,Festival,Kerala
|
| 314 |
+
Pongal Festival,cultural,Festival,Tamil Nadu
|
| 315 |
+
Ganesh Chaturthi,cultural,Festival,Mumbai
|
| 316 |
+
Navratri,cultural,Festival,Gujarat
|
| 317 |
+
Holi in Vrindavan,cultural,Festival,Vrindavan
|
| 318 |
+
Hemis Festival,cultural,Festival,Ladakh
|
| 319 |
+
Ziro Festival of Music,cultural,Festival,Ziro
|
| 320 |
+
Rath Yatra,cultural,Festival,Puri
|
| 321 |
+
Camel Festival Bikaner,cultural,Festival,Bikaner
|
| 322 |
+
Kite Festival,cultural,Festival,Ahmedabad
|
| 323 |
+
Goa Carnival,cultural,Festival,Goa
|
| 324 |
+
Mysore Dasara,cultural,Festival,Mysuru
|
| 325 |
+
Chhath Puja,cultural,Festival,Bihar
|
| 326 |
+
Sonepur Mela,cultural,Fair,Sonepur
|
| 327 |
+
Aloo Tikki,food,Snack,North India
|
| 328 |
+
Bhel Puri,food,Snack,Mumbai
|
| 329 |
+
Sev Puri,food,Snack,Mumbai
|
| 330 |
+
Dahi Puri,food,Snack,Mumbai
|
| 331 |
+
Ragda Pattice,food,Snack,Mumbai
|
| 332 |
+
Khaman,food,Snack,Gujarat
|
| 333 |
+
Handvo,food,Snack,Gujarat
|
| 334 |
+
Fafda Jalebi,food,Breakfast,Gujarat
|
| 335 |
+
Lilva Kachori,food,Snack,Gujarat
|
| 336 |
+
Mohanthal,food,Dessert,Gujarat
|
| 337 |
+
Shrikhand,food,Dessert,Maharashtra
|
| 338 |
+
Thalipeeth,food,Breakfast,Maharashtra
|
| 339 |
+
Sabudana Vada,food,Snack,Maharashtra
|
| 340 |
+
Kombdi Vade,food,Main Course,Konkan
|
| 341 |
+
Solkadhi,food,Beverage,Konkan
|
| 342 |
+
Bakarwadi,food,Snack,Pune
|
| 343 |
+
Amti,food,Main Course,Maharashtra
|
| 344 |
+
Bharli Vangi,food,Main Course,Maharashtra
|
| 345 |
+
Pithla Bhakri,food,Main Course,Maharashtra
|
| 346 |
+
Akki Rotti,food,Breakfast,Karnataka
|
| 347 |
+
Ragi Mudde,food,Main Course,Karnataka
|
| 348 |
+
Maddur Vada,food,Snack,Maddur
|
| 349 |
+
Dharwad Peda,food,Dessert,Dharwad
|
| 350 |
+
Chiroti,food,Dessert,Karnataka
|
| 351 |
+
Obbattu,food,Dessert,Karnataka
|
| 352 |
+
Mangalore Buns,food,Breakfast,Mangalore
|
| 353 |
+
Kori Rotti,food,Main Course,Mangalore
|
| 354 |
+
Kane Rava Fry,food,Starter,Mangalore
|
| 355 |
+
Goli Baje,food,Snack,Mangalore
|
| 356 |
+
Adai,food,Breakfast,Tamil Nadu
|
| 357 |
+
Kuzhambu,food,Main Course,Tamil Nadu
|
| 358 |
+
Rasam,food,Soup,South India
|
| 359 |
+
Kootu,food,Side Dish,Tamil Nadu
|
| 360 |
+
Poriyal,food,Side Dish,Tamil Nadu
|
| 361 |
+
Jigarthanda,food,Beverage,Madurai
|
| 362 |
+
Kothu Parotta,food,Street Food,Tamil Nadu
|
| 363 |
+
Athirasam,food,Dessert,Tamil Nadu
|
| 364 |
+
Puttu,food,Breakfast,Kerala
|
| 365 |
+
Kadala Curry,food,Main Course,Kerala
|
| 366 |
+
Karimeen Pollichathu,food,Main Course,Kerala
|
| 367 |
+
Palada Pradhaman,food,Dessert,Kerala
|
| 368 |
+
Neyyappam,food,Snack,Kerala
|
| 369 |
+
Thalassery Biryani,food,Main Course,Kerala
|
| 370 |
+
Pazham Pori,food,Snack,Kerala
|
| 371 |
+
Erissery,food,Main Course,Kerala
|
| 372 |
+
Gongura Mutton,food,Main Course,Andhra Pradesh
|
| 373 |
+
Pulihora,food,Main Course,Andhra Pradesh
|
| 374 |
+
Garelu,food,Snack,Andhra Pradesh
|
| 375 |
+
Kakinada Kaja,food,Dessert,Andhra Pradesh
|
| 376 |
+
Bobbatlu,food,Dessert,Andhra Pradesh
|
| 377 |
+
Ulava Charu,food,Soup,Andhra Pradesh
|
| 378 |
+
Royyala Iguru,food,Main Course,Andhra Pradesh
|
| 379 |
+
Double Ka Meetha,food,Dessert,Hyderabad
|
| 380 |
+
Qubani Ka Meetha,food,Dessert,Hyderabad
|
| 381 |
+
Bagara Baingan,food,Main Course,Hyderabad
|
| 382 |
+
Osmania Biscuit,food,Snack,Hyderabad
|
| 383 |
+
Pachi Pulusu,food,Main Course,Telangana
|
| 384 |
+
Sakkarai Pongal,food,Dessert,Tamil Nadu
|
| 385 |
+
Kozhukattai,food,Dessert,Tamil Nadu
|
| 386 |
+
Sundal,food,Snack,Tamil Nadu
|
| 387 |
+
Chicken Ghee Roast,food,Main Course,Mangalore
|
| 388 |
+
Kori Gassi,food,Main Course,Mangalore
|
| 389 |
+
Bangda Fry,food,Starter,Maharashtra
|
| 390 |
+
Bombil Fry,food,Starter,Maharashtra
|
| 391 |
+
Kharvas,food,Dessert,Maharashtra
|
| 392 |
+
Amrakhand,food,Dessert,Maharashtra
|
| 393 |
+
Methi Thepla,food,Breakfast,Gujarat
|
| 394 |
+
Dhebra,food,Snack,Gujarat
|
| 395 |
+
Muthiya,food,Snack,Gujarat
|
| 396 |
+
Khakhra,food,Snack,Gujarat
|
| 397 |
+
Gathiya,food,Snack,Gujarat
|
| 398 |
+
Chorafali,food,Snack,Gujarat
|
| 399 |
+
Adadiya Pak,food,Dessert,Gujarat
|
| 400 |
+
Kansar,food,Dessert,Gujarat
|
| 401 |
+
Sutarfeni,food,Dessert,Gujarat
|
| 402 |
+
Gari,food,Dessert,Surat
|
| 403 |
+
Locho,food,Street Food,Surat
|
| 404 |
+
Surti Undhiyu,food,Main Course,Surat
|
| 405 |
+
Ponkh,food,Snack,Surat
|
| 406 |
+
Kachori,food,Snack,Rajasthan
|
| 407 |
+
Mirchi Vada,food,Snack,Jodhpur
|
| 408 |
+
Mawa Kachori,food,Dessert,Jodhpur
|
| 409 |
+
Ker Sangri,food,Main Course,Rajasthan
|
| 410 |
+
Gatte Ki Sabzi,food,Main Course,Rajasthan
|
| 411 |
+
Papad Ki Sabzi,food,Main Course,Rajasthan
|
| 412 |
+
Bajre Ki Roti,food,Bread,Rajasthan
|
| 413 |
+
Raab,food,Beverage,Rajasthan
|
| 414 |
+
Kalakand,food,Dessert,Alwar
|
| 415 |
+
Moong Dal Halwa,food,Dessert,Rajasthan
|
| 416 |
+
Churma Ladoo,food,Dessert,Rajasthan
|
| 417 |
+
Malpua,food,Dessert,Rajasthan
|
| 418 |
+
Sohan Halwa,food,Dessert,Ajmer
|
| 419 |
+
Imarti,food,Dessert,North India
|
| 420 |
+
Balushahi,food,Dessert,North India
|
| 421 |
+
Nankhatai,food,Snack,North India
|
| 422 |
+
Shahi Tukda,food,Dessert,Mughlai
|
| 423 |
+
Galouti Kebab,food,Starter,Lucknow
|
| 424 |
+
Kakori Kebab,food,Starter,Lucknow
|
| 425 |
+
Basket Chaat,food,Snack,Lucknow
|
| 426 |
+
Dalmoth,food,Snack,Agra
|
| 427 |
+
Bedmi Aloo,food,Breakfast,Agra
|
| 428 |
+
Jalebi,food,Dessert,North India
|
| 429 |
+
Rabri Falooda,food,Dessert,North India
|
| 430 |
+
Ram Ladoo,food,Snack,Delhi
|
| 431 |
+
Daulat Ki Chaat,food,Dessert,Delhi
|
| 432 |
+
Matar Kulcha,food,Street Food,Delhi
|
| 433 |
+
Soya Chaap,food,Starter,Delhi
|
| 434 |
+
Laphing,food,Snack,Delhi
|
| 435 |
+
Aloo Chaat,food,Snack,Delhi
|
| 436 |
+
Fruit Chaat,food,Snack,Delhi
|
| 437 |
+
Mutton Rogan Josh,food,Main Course,Kashmir
|
| 438 |
+
Yakhni Pulao,food,Main Course,Kashmir
|
| 439 |
+
Gushtaba,food,Main Course,Kashmir
|
| 440 |
+
Tabak Maaz,food,Starter,Kashmir
|
| 441 |
+
Haak,food,Main Course,Kashmir
|
| 442 |
+
Kahwa,food,Beverage,Kashmir
|
| 443 |
+
Noon Chai,food,Beverage,Kashmir
|
| 444 |
+
Siddu,food,Snack,Himachal Pradesh
|
| 445 |
+
Dham,food,Meal,Himachal Pradesh
|
| 446 |
+
Madra,food,Main Course,Himachal Pradesh
|
| 447 |
+
Babru,food,Snack,Himachal Pradesh
|
| 448 |
+
Tudkiya Bhath,food,Main Course,Himachal Pradesh
|
| 449 |
+
Chha Gosht,food,Main Course,Himachal Pradesh
|
| 450 |
+
Chhatrapati Shivaji Terminus,heritage,Station,Mumbai
|
| 451 |
+
Kanheri Caves,heritage,Caves,Mumbai
|
| 452 |
+
Global Vipassana Pagoda,heritage,Monument,Mumbai
|
| 453 |
+
Aga Khan Palace,heritage,Palace,Pune
|
| 454 |
+
Sinhagad Fort,heritage,Fort,Pune
|
| 455 |
+
Lohagad Fort,heritage,Fort,Lonavala
|
| 456 |
+
Raigad Fort,heritage,Fort,Raigad
|
| 457 |
+
Pratapgad Fort,heritage,Fort,Mahabaleshwar
|
| 458 |
+
Sindhudurg Fort,heritage,Fort,Malvan
|
| 459 |
+
Vijaydurg Fort,heritage,Fort,Sindhudurg
|
| 460 |
+
Panhala Fort,heritage,Fort,Kolhapur
|
| 461 |
+
Mahalakshmi Temple,heritage,Temple,Kolhapur
|
| 462 |
+
Trimbakeshwar Temple,heritage,Temple,Nashik
|
| 463 |
+
Shirdi Sai Baba Temple,heritage,Temple,Shirdi
|
| 464 |
+
Siddhivinayak Temple,heritage,Temple,Mumbai
|
| 465 |
+
Haji Ali Dargah,heritage,Shrine,Mumbai
|
| 466 |
+
Se Cathedral,heritage,Church,Goa
|
| 467 |
+
Aguada Fort,heritage,Fort,Goa
|
| 468 |
+
Chapora Fort,heritage,Fort,Goa
|
| 469 |
+
Reis Magos Fort,heritage,Fort,Goa
|
| 470 |
+
Mangeshi Temple,heritage,Temple,Ponda
|
| 471 |
+
Shanta Durga Temple,heritage,Temple,Ponda
|
| 472 |
+
Hampi Ruins,heritage,Ruins,Hampi
|
| 473 |
+
Virupaksha Temple,heritage,Temple,Hampi
|
| 474 |
+
Vittala Temple,heritage,Temple,Hampi
|
| 475 |
+
Lotus Mahal,heritage,Palace,Hampi
|
| 476 |
+
Elephant Stables,heritage,Monument,Hampi
|
| 477 |
+
Ibrahim Rauza,heritage,Mausoleum,Bijapur
|
| 478 |
+
Pattadakal,heritage,Temple,Bagalkot
|
| 479 |
+
Aihole,heritage,Temple,Bagalkot
|
| 480 |
+
Badami Caves,heritage,Caves,Badami
|
| 481 |
+
Chennakeshava Temple,heritage,Temple,Belur
|
| 482 |
+
Hoysaleswara Temple,heritage,Temple,Halebidu
|
| 483 |
+
Gommateshwara Statue,heritage,Statue,Shravanabelagola
|
| 484 |
+
Murudeshwar Temple,heritage,Temple,Murudeshwar
|
| 485 |
+
Udupi Sri Krishna Matha,heritage,Temple,Udupi
|
| 486 |
+
Jog Falls,heritage,Nature,Shimoga
|
| 487 |
+
Bidar Fort,heritage,Fort,Bidar
|
| 488 |
+
Brihadeeswarar Temple,heritage,Temple,Thanjavur
|
| 489 |
+
Ramanathaswamy Temple,heritage,Temple,Rameswaram
|
| 490 |
+
Shore Temple,heritage,Temple,Mahabalipuram
|
| 491 |
+
Pancha Rathas,heritage,Monolith,Mahabalipuram
|
| 492 |
+
Arjuna's Penance,heritage,Relief,Mahabalipuram
|
| 493 |
+
Kanyakumari Temple,heritage,Temple,Kanyakumari
|
| 494 |
+
Thiruvalluvar Statue,heritage,Statue,Kanyakumari
|
| 495 |
+
Nataraja Temple,heritage,Temple,Chidambaram
|
| 496 |
+
Annamalaiyar Temple,heritage,Temple,Tiruvannamalai
|
| 497 |
+
Srirangam Temple,heritage,Temple,Trichy
|
| 498 |
+
Rockfort Temple,heritage,Temple,Trichy
|
| 499 |
+
Vellore Fort,heritage,Fort,Vellore
|
| 500 |
+
Chettinad Mansions,heritage,Architecture,Karaikudi
|
| 501 |
+
Chowmahalla Palace,heritage,Palace,Hyderabad
|
| 502 |
+
Qutb Shahi Tombs,heritage,Mausoleum,Hyderabad
|
| 503 |
+
Falaknuma Palace,heritage,Palace,Hyderabad
|
| 504 |
+
Ramappa Temple,heritage,Temple,Mulugu
|
| 505 |
+
Medak Cathedral,heritage,Church,Medak
|
| 506 |
+
Bhongir Fort,heritage,Fort,Bhuvanagiri
|
| 507 |
+
Undavalli Caves,heritage,Caves,Vijayawada
|
| 508 |
+
Chandragiri Fort,heritage,Fort,Tirupati
|
| 509 |
+
Borra Caves,heritage,Caves,Araku Valley
|
| 510 |
+
Belum Caves,heritage,Caves,Kurnool
|
| 511 |
+
Amaravati Stupa,heritage,Ruins,Amaravati
|
| 512 |
+
Lingaraj Temple,heritage,Temple,Bhubaneswar
|
| 513 |
+
Mukteshvara Temple,heritage,Temple,Bhubaneswar
|
| 514 |
+
Rajarani Temple,heritage,Temple,Bhubaneswar
|
| 515 |
+
Udayagiri and Khandagiri Caves,heritage,Caves,Bhubaneswar
|
| 516 |
+
Dhauli Giri,heritage,Monument,Bhubaneswar
|
| 517 |
+
Barabati Fort,heritage,Fort,Cuttack
|
| 518 |
+
Howrah Bridge,heritage,Bridge,Kolkata
|
| 519 |
+
Dakshineswar Kali Temple,heritage,Temple,Kolkata
|
| 520 |
+
Belur Math,heritage,Monastery,Kolkata
|
| 521 |
+
Kalighat Temple,heritage,Temple,Kolkata
|
| 522 |
+
Hazarduari Palace,heritage,Palace,Murshidabad
|
| 523 |
+
Cooch Behar Palace,heritage,Palace,Cooch Behar
|
| 524 |
+
Bishnupur Temples,heritage,Temple,Bishnupur
|
| 525 |
+
Shantiniketan,heritage,Cultural,Bolpur
|
| 526 |
+
Darjeeling Himalayan Railway,heritage,Railway,Darjeeling
|
| 527 |
+
Cellular Jail,heritage,Museum,Port Blair
|
| 528 |
+
Ross Island,heritage,Ruins,Port Blair
|
| 529 |
+
Amber Fort,heritage,Fort,Jaipur
|
| 530 |
+
Nahargarh Fort,heritage,Fort,Jaipur
|
| 531 |
+
Jaigarh Fort,heritage,Fort,Jaipur
|
| 532 |
+
Albert Hall Museum,heritage,Museum,Jaipur
|
| 533 |
+
Patrika Gate,heritage,Monument,Jaipur
|
| 534 |
+
Jaswant Thada,heritage,Mausoleum,Jodhpur
|
| 535 |
+
Junagarh Fort,heritage,Fort,Bikaner
|
| 536 |
+
Karni Mata Temple,heritage,Temple,Deshnoke
|
| 537 |
+
Jaisalmer Fort,heritage,Fort,Jaisalmer
|
| 538 |
+
Ranakpur Jain Temple,heritage,Temple,Ranakpur
|
| 539 |
+
Dilwara Temples,heritage,Temple,Mount Abu
|
| 540 |
+
Bundi Palace,heritage,Palace,Bundi
|
| 541 |
+
Agra Fort,heritage,Fort,Agra
|
| 542 |
+
Buland Darwaza,heritage,Monument,Fatehpur Sikri
|
| 543 |
+
Sarnath,heritage,Ruins,Varanasi
|
| 544 |
+
Kashi Vishwanath Temple,heritage,Temple,Varanasi
|
| 545 |
+
Dashashwamedh Ghat,heritage,Ghat,Varanasi
|
| 546 |
+
Manikarnika Ghat,heritage,Ghat,Varanasi
|
| 547 |
+
Ramnagar Fort,heritage,Fort,Varanasi
|
| 548 |
+
Residency Lucknow,heritage,Ruins,Lucknow
|
| 549 |
+
Rumi Darwaza,heritage,Monument,Lucknow
|
| 550 |
+
Jallianwala Bagh,heritage,Memorial,Amritsar
|
| 551 |
+
Wagah Border,heritage,Border,Amritsar
|
| 552 |
+
Partition Museum,heritage,Museum,Amritsar
|
| 553 |
+
Qila Mubarak,heritage,Fort,Bathinda
|
| 554 |
+
Rock Garden,heritage,Park,Chandigarh
|
| 555 |
+
Capitol Complex,heritage,Architecture,Chandigarh
|
| 556 |
+
Masroor Rock Cut Temple,heritage,Temple,Kangra
|
| 557 |
+
Kangra Fort,heritage,Fort,Kangra
|
| 558 |
+
Hadimba Temple,heritage,Temple,Manali
|
| 559 |
+
Tabo Monastery,heritage,Monastery,Spiti
|
| 560 |
+
Key Monastery,heritage,Monastery,Spiti
|
| 561 |
+
Baijnath Temple,heritage,Temple,Palampur
|
| 562 |
+
Martand Sun Temple,heritage,Ruins,Anantnag
|
| 563 |
+
Shankaracharya Temple,heritage,Temple,Srinagar
|
| 564 |
+
Hari Parbat Fort,heritage,Fort,Srinagar
|
| 565 |
+
Vaishno Devi,heritage,Temple,Katra
|
| 566 |
+
Leh Palace,heritage,Palace,Leh
|
| 567 |
+
Thiksey Monastery,heritage,Monastery,Leh
|
| 568 |
+
Diskit Monastery,heritage,Monastery,Nubra Valley
|
| 569 |
+
Shanti Stupa,heritage,Monument,Leh
|
| 570 |
+
Palolem Beach,nature,Beach,Canacona
|
| 571 |
+
Anjuna Beach,nature,Beach,Anjuna
|
| 572 |
+
Calangute Beach,nature,Beach,Calangute
|
| 573 |
+
Arambol Beach,nature,Beach,Arambol
|
| 574 |
+
Kovalam Beach,nature,Beach,Thiruvananthapuram
|
| 575 |
+
Athirappilly Falls,nature,Waterfall,Thrissur
|
| 576 |
+
Kumarakom,nature,Backwaters,Kottayam
|
| 577 |
+
Silent Valley National Park,nature,Wildlife,Palakkad
|
| 578 |
+
Ooty,nature,Hill Station,Ooty
|
| 579 |
+
Coonoor,travel,Hill Station,Coonoor
|
| 580 |
+
Yercaud,nature,Hill Station,Salem
|
| 581 |
+
Marina Beach,nature,Beach,Chennai
|
| 582 |
+
Pamban Bridge,travel,Bridge,Rameswaram
|
| 583 |
+
Hogenakkal Falls,nature,Waterfall,Dharmapuri
|
| 584 |
+
Chikmagalur,nature,Hill Station,Chikmagalur
|
| 585 |
+
Nandi Hills,nature,Hill Station,Chikkaballapur
|
| 586 |
+
Dandeli,travel,Adventure,Uttara Kannada
|
| 587 |
+
Kabini,nature,Wildlife,Mysuru
|
| 588 |
+
Agumbe,nature,Nature,Shimoga
|
| 589 |
+
Mahabaleshwar,nature,Hill Station,Satara
|
| 590 |
+
Panchgani,travel,Hill Station,Satara
|
| 591 |
+
Matheran,travel,Hill Station,Raigad
|
| 592 |
+
Alibaug,nature,Beach,Raigad
|
| 593 |
+
Kaas Plateau,travel,Nature,Satara
|
| 594 |
+
Bhandardara,nature,Nature,Ahmednagar
|
| 595 |
+
Statue of Unity,travel,Monument,Kevadia
|
| 596 |
+
Diu,nature,Beach,Diu
|
| 597 |
+
Mount Abu,nature,Hill Station,Sirohi
|
| 598 |
+
Pushkar,nature,Spiritual,Ajmer
|
| 599 |
+
Udaipur Lakes,nature,Lake,Udaipur
|
| 600 |
+
Sariska Tiger Reserve,travel,Wildlife,Alwar
|
| 601 |
+
Keoladeo National Park,nature,Wildlife,Bharatpur
|
| 602 |
+
Nainital,nature,Hill Station,Nainital
|
| 603 |
+
Mussoorie,travel,Hill Station,Dehradun
|
| 604 |
+
Haridwar,travel,Spiritual,Haridwar
|
| 605 |
+
Auli,travel,Adventure,Chamoli
|
| 606 |
+
Kedarnath,travel,Spiritual,Rudraprayag
|
| 607 |
+
Badrinath,nature,Spiritual,Chamoli
|
| 608 |
+
Shimla,travel,Hill Station,Shimla
|
| 609 |
+
Dharamshala,travel,Hill Station,Kangra
|
| 610 |
+
Kasol,nature,Hill Station,Kullu
|
| 611 |
+
Dalhousie,travel,Hill Station,Chamba
|
| 612 |
+
Bir Billing,travel,Adventure,Kangra
|
| 613 |
+
Dal Lake,nature,Lake,Srinagar
|
| 614 |
+
Gulmarg,travel,Hill Station,Baramulla
|
| 615 |
+
Pahalgam,nature,Hill Station,Anantnag
|
| 616 |
+
Sonamarg,travel,Hill Station,Ganderbal
|
| 617 |
+
Pangong Tso,nature,Lake,Ladakh
|
| 618 |
+
Tsomgo Lake,nature,Lake,Gangtok
|
| 619 |
+
Nathula Pass,travel,Pass,Gangtok
|
| 620 |
+
Pelling,travel,Hill Station,West Sikkim
|
| 621 |
+
Gurudongmar Lake,nature,Lake,North Sikkim
|
| 622 |
+
Tawang,travel,Hill Station,Tawang
|
| 623 |
+
Majuli,nature,Island,Majuli
|
| 624 |
+
Cherrapunji,nature,Nature,East Khasi Hills
|
| 625 |
+
Sundarbans,travel,Wildlife,South 24 Parganas
|
| 626 |
+
Mandarmani,nature,Beach,Purba Medinipur
|
| 627 |
+
Puri Beach,nature,Beach,Puri
|
| 628 |
+
Simlipal National Park,nature,Wildlife,Mayurbhanj
|
| 629 |
+
Gandikota,nature,Nature,Kadapa
|
| 630 |
+
Horsley Hills,nature,Hill Station,Chittoor
|
| 631 |
+
Lambasingi,travel,Hill Station,Visakhapatnam
|
| 632 |
+
Dev Deepawali,cultural,Festival,Varanasi
|
| 633 |
+
Lathmar Holi,cultural,Festival,Barsana
|
| 634 |
+
Taj Mahotsav,cultural,Festival,Agra
|
| 635 |
+
Ganga Dussehra,cultural,Festival,Haridwar
|
| 636 |
+
Nanda Devi Raj Jat,cultural,Festival,Chamoli
|
| 637 |
+
International Yoga Festival,cultural,Festival,Rishikesh
|
| 638 |
+
Hola Mohalla,cultural,Festival,Anandpur Sahib
|
| 639 |
+
Lohri,cultural,Festival,Punjab
|
| 640 |
+
Baisakhi,cultural,Festival,Punjab
|
| 641 |
+
Kullu Dussehra,cultural,Festival,Kullu
|
| 642 |
+
Minjar Fair,cultural,Fair,Chamba
|
| 643 |
+
Losar,cultural,Festival,Ladakh
|
| 644 |
+
Saga Dawa,cultural,Festival,Gangtok
|
| 645 |
+
Losoong,cultural,Festival,Sikkim
|
| 646 |
+
Moatsu,cultural,Festival,Mokokchung
|
| 647 |
+
Sekrenyi,cultural,Festival,Kohima
|
| 648 |
+
Wangala Festival,cultural,Festival,Tura
|
| 649 |
+
Nongkrem Dance,cultural,Festival,Shillong
|
| 650 |
+
Chapchar Kut,cultural,Festival,Aizawl
|
| 651 |
+
Sangai Festival,cultural,Festival,Imphal
|
| 652 |
+
Yaoshang,cultural,Festival,Imphal
|
| 653 |
+
Kharchi Puja,cultural,Festival,Agartala
|
| 654 |
+
Ambubachi Mela,cultural,Fair,Guwahati
|
| 655 |
+
Ras Leela,cultural,Art Form,Majuli
|
| 656 |
+
Poush Mela,cultural,Fair,Shantiniketan
|
| 657 |
+
Gangasagar Mela,cultural,Fair,Sagar Island
|
| 658 |
+
Chhau Dance,cultural,Art Form,Purulia
|
| 659 |
+
Konark Dance Festival,cultural,Festival,Konark
|
| 660 |
+
Raja Parba,cultural,Festival,Odisha
|
| 661 |
+
Nuakhai,cultural,Festival,Sambalpur
|
| 662 |
+
Bali Yatra,cultural,Fair,Cuttack
|
| 663 |
+
Bastar Dussehra,cultural,Festival,Jagdalpur
|
| 664 |
+
Madai Festival,cultural,Festival,Chhattisgarh
|
| 665 |
+
Khajuraho Dance Festival,cultural,Festival,Khajuraho
|
| 666 |
+
Tansen Samaroh,cultural,Festival,Gwalior
|
| 667 |
+
Bhagoria Festival,cultural,Festival,Jhabua
|
| 668 |
+
Marwar Festival,cultural,Festival,Jodhpur
|
| 669 |
+
Gangaur,cultural,Festival,Jaipur
|
| 670 |
+
Teej,cultural,Festival,Jaipur
|
| 671 |
+
Desert Festival,cultural,Festival,Jaisalmer
|
| 672 |
+
Elephant Festival,cultural,Festival,Jaipur
|
| 673 |
+
Rann Utsav,cultural,Festival,Kutch
|
| 674 |
+
Modhera Dance Festival,cultural,Festival,Modhera
|
| 675 |
+
Tarnetar Fair,cultural,Fair,Surendranagar
|
| 676 |
+
Bhavnath Fair,cultural,Fair,Junagadh
|
| 677 |
+
Ganesh Visarjan,cultural,Festival,Mumbai
|
| 678 |
+
Gudi Padwa,cultural,Festival,Maharashtra
|
| 679 |
+
Palkhi Festival,cultural,Festival,Pandharpur
|
| 680 |
+
Ellora Ajanta Festival,cultural,Festival,Aurangabad
|
| 681 |
+
Sao Joao,cultural,Festival,Goa
|
| 682 |
+
Shigmo,cultural,Festival,Goa
|
| 683 |
+
Hampi Utsav,cultural,Festival,Hampi
|
| 684 |
+
Kambala,cultural,Sport,Dakshina Kannada
|
| 685 |
+
Karaga,cultural,Festival,Bangalore
|
| 686 |
+
Pattadakal Dance Festival,cultural,Festival,Pattadakal
|
| 687 |
+
Thrissur Pooram,cultural,Festival,Thrissur
|
| 688 |
+
Theyyam,cultural,Art Form,Kannur
|
| 689 |
+
Snake Boat Race,cultural,Sport,Alappuzha
|
| 690 |
+
Vishu,cultural,Festival,Kerala
|
| 691 |
+
Karthigai Deepam,cultural,Festival,Tiruvannamalai
|
| 692 |
+
Jallikattu,cultural,Sport,Madurai
|
| 693 |
+
Chithirai Festival,cultural,Festival,Madurai
|
| 694 |
+
Mahamastakabhisheka,cultural,Festival,Shravanabelagola
|
| 695 |
+
Bonalu,cultural,Festival,Hyderabad
|
| 696 |
+
Bathukamma,cultural,Festival,Telangana
|
| 697 |
+
Sammakka Saralamma Jatara,cultural,Festival,Medaram
|
| 698 |
+
Deccan Festival,cultural,Festival,Hyderabad
|
| 699 |
+
Visakha Utsav,cultural,Festival,Visakhapatnam
|
| 700 |
+
Flamingo Festival,cultural,Festival,Nellore
|
| 701 |
+
Indian Museum,heritage,Museum,Kolkata
|
| 702 |
+
Calico Museum of Textiles,heritage,Museum,Ahmedabad
|
| 703 |
+
Napier Museum,heritage,Museum,Thiruvananthapuram
|
| 704 |
+
DakshinaChitra,heritage,Museum,Chennai
|
| 705 |
+
Rail Museum Delhi,heritage,Museum,Delhi
|
| 706 |
+
Shankar's International Dolls Museum,heritage,Museum,Delhi
|
| 707 |
+
Visvesvaraya Industrial and Technological Museum,heritage,Museum,Bangalore
|
| 708 |
+
HAL Aerospace Museum,heritage,Museum,Bangalore
|
| 709 |
+
Naval Aviation Museum,heritage,Museum,Vasco da Gama
|
| 710 |
+
Sulabh International Museum of Toilets,heritage,Museum,Delhi
|
| 711 |
+
Kite Museum,heritage,Museum,Ahmedabad
|
| 712 |
+
Auto World Vintage Car Museum,heritage,Museum,Ahmedabad
|
| 713 |
+
Blackbuck National Park,nature,Wildlife,Velavadar
|
| 714 |
+
Marine National Park,nature,Wildlife,Jamnagar
|
| 715 |
+
Polo Forest,nature,Nature,Sabarkantha
|
| 716 |
+
Thol Lake,nature,Wildlife,Ahmedabad
|
| 717 |
+
Nalsarovar,travel,Wildlife,Ahmedabad
|
| 718 |
+
Champaner-Pavagadh,heritage,Ruins,Panchmahal
|
| 719 |
+
Adalaj Stepwell,heritage,Stepwell,Ahmedabad
|
| 720 |
+
Modhera Sun Temple,heritage,Temple,Modhera
|
| 721 |
+
Dwarkadhish Temple,heritage,Temple,Dwarka
|
| 722 |
+
Girnar,travel,Mountain,Junagadh
|
| 723 |
+
Mandvi Beach,nature,Beach,Kutch
|
| 724 |
+
Dholavira,heritage,Ruins,Kutch
|
| 725 |
+
Lothal,heritage,Ruins,Ahmedabad
|
| 726 |
+
Sarkhej Roza,heritage,Monument,Ahmedabad
|
| 727 |
+
Sidi Saiyyed Mosque,heritage,Monument,Ahmedabad
|
| 728 |
+
Hutheesing Jain Temple,heritage,Temple,Ahmedabad
|
| 729 |
+
Akshardham Gandhinagar,heritage,Temple,Gandhinagar
|
| 730 |
+
Pavagadh,nature,Hill Station,Panchmahal
|
| 731 |
+
Wilson Hills,nature,Hill Station,Valsad
|
| 732 |
+
Don Hill Station,nature,Hill Station,Dang
|
| 733 |
+
Gira Waterfalls,nature,Waterfall,Dang
|
| 734 |
+
Ninai Waterfalls,nature,Waterfall,Narmada
|
| 735 |
+
Zarwani Waterfalls,nature,Waterfall,Narmada
|
| 736 |
+
Hathni Mata Waterfall,nature,Waterfall,Panchmahal
|
| 737 |
+
Jambughoda Wildlife Sanctuary,nature,Wildlife,Panchmahal
|
| 738 |
+
Purna Wildlife Sanctuary,nature,Wildlife,Dang
|
| 739 |
+
Vansda National Park,nature,Wildlife,Navsari
|
| 740 |
+
Narara Marine National Park,nature,Wildlife,Jamnagar
|
| 741 |
+
Khijadiya Bird Sanctuary,nature,Wildlife,Jamnagar
|
| 742 |
+
Jessore Sloth Bear Sanctuary,nature,Wildlife,Banaskantha
|
| 743 |
+
Balaram Ambaji Wildlife Sanctuary,nature,Wildlife,Banaskantha
|
| 744 |
+
Dhordo,travel,Village,Kutch
|
| 745 |
+
Nirona,travel,Village,Kutch
|
| 746 |
+
Bhujodi,travel,Village,Kutch
|
| 747 |
+
Ajrakhpur,travel,Village,Kutch
|
| 748 |
+
Hodka,travel,Village,Kutch
|
| 749 |
+
Khavda,travel,Village,Kutch
|
| 750 |
+
Lakhpat,heritage,Fort,Kutch
|
| 751 |
+
Koteshwar,heritage,Temple,Kutch
|
| 752 |
+
Narayan Sarovar,heritage,Temple,Kutch
|
| 753 |
+
Mata No Madh,heritage,Temple,Kutch
|
| 754 |
+
Chari Dhand,travel,Wildlife,Kutch
|
| 755 |
+
Fossil Park,travel,Nature,Kutch
|
| 756 |
+
Dinosaur Fossil Park,travel,Nature,Mahisagar
|
| 757 |
+
Galteshwar,heritage,Temple,Kheda
|
| 758 |
+
Dakor,heritage,Temple,Kheda
|
| 759 |
+
Shamlaji,heritage,Temple,Aravalli
|
| 760 |
+
Idar Gadh,travel,Mountain,Sabarkantha
|
| 761 |
+
Taranga Hill,heritage,Temple,Mehsana
|
| 762 |
+
Vadnagar,heritage,City,Mehsana
|
| 763 |
+
Kirti Toran,heritage,Monument,Vadnagar
|
| 764 |
+
Hatkeshwar Temple,heritage,Temple,Vadnagar
|
| 765 |
+
Sun Temple of Borsad,heritage,Temple,Anand
|
| 766 |
+
Stambheshwar Mahadev,heritage,Temple,Bharuch
|
| 767 |
+
Kabirvad,nature,Nature,Bharuch
|
| 768 |
+
Golden Bridge,heritage,Bridge,Bharuch
|
| 769 |
+
Nilkanth Dham,heritage,Temple,Poicha
|
| 770 |
+
Kuber Bhandari,heritage,Temple,Vadodara
|
| 771 |
+
Laxmi Vilas Palace,heritage,Palace,Vadodara
|
| 772 |
+
Sayaji Baug,nature,Park,Vadodara
|
| 773 |
+
EME Temple,heritage,Temple,Vadodara
|
| 774 |
+
Sursagar Lake,nature,Lake,Vadodara
|
| 775 |
+
Khanderao Market,heritage,Architecture,Vadodara
|
| 776 |
+
Hazira Maqbara,heritage,Mausoleum,Vadodara
|
| 777 |
+
Tambekar Wada,heritage,Architecture,Vadodara
|
| 778 |
+
Makarpura Palace,heritage,Palace,Vadodara
|
| 779 |
+
Champaner Mosque,heritage,Monument,Panchmahal
|
| 780 |
+
Saat Kaman,heritage,Ruins,Panchmahal
|
| 781 |
+
Vadhvana Wetland,travel,Wildlife,Vadodara
|
| 782 |
+
Sankheda,travel,Village,Chhota Udepur
|
| 783 |
+
Rathwa Art,cultural,Art Form,Chhota Udepur
|
| 784 |
+
Tribal Museum,heritage,Museum,Chhota Udepur
|
| 785 |
+
Kadyavana,nature,Nature,Chhota Udepur
|
| 786 |
+
Harsiddhi Mata Temple,heritage,Temple,Porbandar
|
| 787 |
+
Kirti Mandir,heritage,Memorial,Porbandar
|
| 788 |
+
Sudama Mandir,heritage,Temple,Porbandar
|
| 789 |
+
Porbandar Bird Sanctuary,nature,Wildlife,Porbandar
|
| 790 |
+
Ghumli,heritage,Ruins,Devbhumi Dwarka
|
| 791 |
+
Barda Wildlife Sanctuary,nature,Wildlife,Porbandar
|
| 792 |
+
Mokarsagar Wetland,travel,Wildlife,Porbandar
|
| 793 |
+
Madhavpur Beach,nature,Beach,Porbandar
|
| 794 |
+
Uparkot Fort,heritage,Fort,Junagadh
|
| 795 |
+
Mahabat Maqbara,heritage,Mausoleum,Junagadh
|
| 796 |
+
Sakkarbaug Zoo,travel,Wildlife,Junagadh
|
| 797 |
+
Damodar Kund,heritage,Temple,Junagadh
|
| 798 |
+
Wellington Dam,nature,Nature,Junagadh
|
| 799 |
+
Khodiyar Dam,nature,Nature,Amreli
|
| 800 |
+
Tulsiishyam,nature,Nature,Gir Somnath
|
| 801 |
+
Kankai,nature,Nature,Gir Somnath
|
| 802 |
+
Sasan Gir,nature,Wildlife,Gir Somnath
|
| 803 |
+
Devalia Safari Park,travel,Wildlife,Gir Somnath
|
| 804 |
+
Jamjir Waterfall,nature,Waterfall,Gir Somnath
|
| 805 |
+
Chorwad Beach,nature,Beach,Junagadh
|
| 806 |
+
Sarkheshwar Beach,nature,Beach,Amreli
|
| 807 |
+
Shiyal Bet,nature,Island,Amreli
|
| 808 |
+
Rajkumar College,heritage,Architecture,Rajkot
|
| 809 |
+
Watson Museum,heritage,Museum,Rajkot
|
| 810 |
+
Rotary Dolls Museum,heritage,Museum,Rajkot
|
| 811 |
+
Khambhalida Caves,heritage,Caves,Rajkot
|
| 812 |
+
Hingolgadh Nature Education Sanctuary,nature,Wildlife,Rajkot
|
| 813 |
+
Ghela Somnath,heritage,Temple,Rajkot
|
| 814 |
+
Osam Hill,nature,Mountain,Rajkot
|
| 815 |
+
Anal Gadh,travel,Mountain,Rajkot
|
| 816 |
+
Nyari Dam,nature,Nature,Rajkot
|
| 817 |
+
Aji Dam,nature,Nature,Rajkot
|
| 818 |
+
Pradyuman Park,travel,Wildlife,Rajkot
|
| 819 |
+
Ishwariya Park,travel,Park,Rajkot
|
| 820 |
+
Rampara Wildlife Sanctuary,nature,Wildlife,Morbi
|
| 821 |
+
Wankaner Palace,heritage,Palace,Morbi
|
| 822 |
+
Mani Mandir,heritage,Temple,Morbi
|
| 823 |
+
Julto Pul,heritage,Bridge,Morbi
|
| 824 |
+
Navlakha Palace,heritage,Palace,Morbi
|
| 825 |
+
Riverside Palace,heritage,Palace,Gondal
|
| 826 |
+
Orchard Palace,heritage,Palace,Gondal
|
| 827 |
+
Swaminarayan Temple Gondal,heritage,Temple,Gondal
|
| 828 |
+
Virpur Jalaram,heritage,Temple,Rajkot
|
| 829 |
+
Khodaldham,heritage,Temple,Rajkot
|
| 830 |
+
Karim's,food,Restaurant,Delhi
|
| 831 |
+
Paranthe Wali Gali,food,Street Food,Delhi
|
| 832 |
+
Sita Ram Diwan Chand,food,Restaurant,Delhi
|
| 833 |
+
Kuremal Mohan Lal Kulfi Wale,food,Dessert,Delhi
|
| 834 |
+
Natraj Dahi Bhalle,food,Street Food,Delhi
|
| 835 |
+
Moolchand Paratha,food,Street Food,Delhi
|
| 836 |
+
Dolma Aunty Momos,food,Street Food,Delhi
|
| 837 |
+
Khan Chacha,food,Restaurant,Delhi
|
| 838 |
+
Wenger's,food,Bakery,Delhi
|
| 839 |
+
Depaul's,food,Beverage,Delhi
|
| 840 |
+
Giani's Di Hatti,food,Dessert,Delhi
|
| 841 |
+
Lotan Chole Kulche,food,Street Food,Delhi
|
| 842 |
+
Bishan Swaroop Chaat,food,Street Food,Delhi
|
| 843 |
+
Ashok Meat Dhaba,food,Restaurant,Delhi
|
| 844 |
+
Rajinder Da Dhaba,food,Restaurant,Delhi
|
| 845 |
+
Tunday Kababi,food,Restaurant,Lucknow
|
| 846 |
+
Idris Biryani,food,Restaurant,Lucknow
|
| 847 |
+
Prakash Ki Kulfi,food,Dessert,Lucknow
|
| 848 |
+
Sharma Tea Stall,food,Beverage,Lucknow
|
| 849 |
+
Royal Cafe,food,Restaurant,Lucknow
|
| 850 |
+
Raheem's Kulcha Nihari,food,Restaurant,Lucknow
|
| 851 |
+
Dastarkhwan,food,Restaurant,Lucknow
|
| 852 |
+
Kesar Da Dhaba,food,Restaurant,Amritsar
|
| 853 |
+
Bharawan Da Dhaba,food,Restaurant,Amritsar
|
| 854 |
+
Kulcha Land,food,Restaurant,Amritsar
|
| 855 |
+
Ahuja Lassi,food,Beverage,Amritsar
|
| 856 |
+
Beera Chicken,food,Restaurant,Amritsar
|
| 857 |
+
Makhan Fish,food,Restaurant,Amritsar
|
| 858 |
+
Giani Tea Stall,food,Beverage,Amritsar
|
| 859 |
+
Murthal Parathas,food,Restaurant,Sonipat
|
| 860 |
+
Pahalwan Di Hatti,food,Restaurant,Jammu
|
| 861 |
+
Rawat Mishtan Bhandar,food,Restaurant,Jaipur
|
| 862 |
+
Lassiwala,food,Beverage,Jaipur
|
| 863 |
+
Laxmi Misthan Bhandar (LMB),food,Restaurant,Jaipur
|
| 864 |
+
Sanjay Omelette,food,Street Food,Jaipur
|
| 865 |
+
Pandit Pav Bhaji,food,Street Food,Jaipur
|
| 866 |
+
Shri Ram Chaat,food,Street Food,Jaipur
|
| 867 |
+
Jodhpur Sweets,food,Dessert,Jodhpur
|
| 868 |
+
Shahi Samosa,food,Street Food,Jodhpur
|
| 869 |
+
Gypsy Dining Hall,food,Restaurant,Jodhpur
|
| 870 |
+
Natraj Dining Hall,food,Restaurant,Udaipur
|
| 871 |
+
JMB (Jagdish Misthan Bhandar),food,Dessert,Udaipur
|
| 872 |
+
Manek Chowk,food,Street Food,Ahmedabad
|
| 873 |
+
Das Khaman,food,Street Food,Ahmedabad
|
| 874 |
+
Induben Khakhrawala,food,Shop,Ahmedabad
|
| 875 |
+
Agashiye,food,Restaurant,Ahmedabad
|
| 876 |
+
Oshwal,food,Restaurant,Jamnagar
|
| 877 |
+
Khetla Apa Tea,food,Beverage,Rajkot
|
| 878 |
+
Jagdish Farsan,food,Shop,Vadodara
|
| 879 |
+
Raju Omlet,food,Street Food,Vadodara
|
| 880 |
+
Mahakali Sev Usal,food,Street Food,Vadodara
|
| 881 |
+
Britannia & Co.,food,Restaurant,Mumbai
|
| 882 |
+
Kyani & Co.,food,Bakery,Mumbai
|
| 883 |
+
Bademiya,food,Street Food,Mumbai
|
| 884 |
+
Sardar Pav Bhaji,food,Restaurant,Mumbai
|
| 885 |
+
Ashok Vada Pav,food,Street Food,Mumbai
|
| 886 |
+
Cannon Pav Bhaji,food,Street Food,Mumbai
|
| 887 |
+
Haji Ali Juice Centre,food,Beverage,Mumbai
|
| 888 |
+
Bachelorr's,food,Dessert,Mumbai
|
| 889 |
+
Leopold Cafe,food,Restaurant,Mumbai
|
| 890 |
+
Mahesh Lunch Home,food,Restaurant,Mumbai
|
| 891 |
+
Shree Thaker Bhojanalay,food,Restaurant,Mumbai
|
| 892 |
+
Prakash Shakahari Upahar Kendra,food,Restaurant,Mumbai
|
| 893 |
+
Aaswad,food,Restaurant,Mumbai
|
| 894 |
+
Kayani Bakery,food,Bakery,Pune
|
| 895 |
+
German Bakery,food,Cafe,Pune
|
| 896 |
+
Goodluck Cafe,food,Restaurant,Pune
|
| 897 |
+
Vaishali,food,Restaurant,Pune
|
| 898 |
+
Bedekar Misal,food,Restaurant,Pune
|
| 899 |
+
Chitale Bandhu Mithaiwale,food,Shop,Pune
|
| 900 |
+
Marz-O-Rin,food,Bakery,Pune
|
| 901 |
+
Dorabjee & Sons,food,Restaurant,Pune
|
| 902 |
+
Joshi Wade Wale,food,Restaurant,Indore
|
| 903 |
+
Chappan Dukan,food,Street Food,Indore
|
| 904 |
+
Sarafa Bazaar,food,Street Food,Indore
|
| 905 |
+
Vijay Chaat House,food,Restaurant,Indore
|
| 906 |
+
Prashant Poha,food,Restaurant,Indore
|
| 907 |
+
Nagori Shikanji,food,Beverage,Indore
|
| 908 |
+
Manohar Dairy,food,Restaurant,Bhopal
|
| 909 |
+
Raju Tea Stall,food,Beverage,Bhopal
|
| 910 |
+
Kalyan Bhel,food,Street Food,Pune
|
| 911 |
+
Sujata Mastani,food,Dessert,Pune
|
| 912 |
+
Garden Vada Pav,food,Street Food,Pune
|
| 913 |
+
Burger King (Pune),food,Restaurant,Pune
|
| 914 |
+
Martin's Corner,food,Restaurant,Betalbatim
|
| 915 |
+
Britto's,food,Restaurant,Baga
|
| 916 |
+
Infantaria,food,Restaurant,Calangute
|
| 917 |
+
Gunpowder,food,Restaurant,Assagao
|
| 918 |
+
Vinayak Family Restaurant,food,Restaurant,Assagao
|
| 919 |
+
Pousada by the Beach,food,Restaurant,Calangute
|
| 920 |
+
Mum's Kitchen,food,Restaurant,Panjim
|
| 921 |
+
Fisherman's Wharf,food,Restaurant,Cavelossim
|
| 922 |
+
Thalassa,food,Restaurant,Siolim
|
| 923 |
+
Burger Factory,food,Restaurant,Anjuna
|
| 924 |
+
Netravali Bubble Lake,nature,Nature,Sanguem
|
| 925 |
+
Chorla Ghat,nature,Nature,Goa
|
| 926 |
+
Harvalem Waterfalls,nature,Waterfall,Sanquelim
|
| 927 |
+
Divar Island,nature,Island,Divar
|
| 928 |
+
Chorao Island,nature,Island,Chorao
|
| 929 |
+
Cabo de Rama,heritage,Fort,Canacona
|
| 930 |
+
Tambdi Surla,heritage,Temple,Sanguem
|
| 931 |
+
Big Foot Goa,heritage,Museum,Loutolim
|
| 932 |
+
Houses of Goa Museum,heritage,Museum,Bardez
|
| 933 |
+
Vidyarthi Bhavan,food,Restaurant,Bangalore
|
| 934 |
+
CTR (Shri Sagar),food,Restaurant,Bangalore
|
| 935 |
+
MTR (Mavalli Tiffin Room),food,Restaurant,Bangalore
|
| 936 |
+
Brahmin's Coffee Bar,food,Restaurant,Bangalore
|
| 937 |
+
Rameshwaram Cafe,food,Restaurant,Bangalore
|
| 938 |
+
Koshy's,food,Restaurant,Bangalore
|
| 939 |
+
Nagarjuna,food,Restaurant,Bangalore
|
| 940 |
+
Meghana Foods,food,Restaurant,Bangalore
|
| 941 |
+
Corner House,food,Dessert,Bangalore
|
| 942 |
+
Empire Restaurant,food,Restaurant,Bangalore
|
| 943 |
+
Airlines Hotel,food,Restaurant,Bangalore
|
| 944 |
+
Murugan Idli Shop,food,Restaurant,Chennai
|
| 945 |
+
Saravana Bhavan,food,Restaurant,Chennai
|
| 946 |
+
Ratna Cafe,food,Restaurant,Chennai
|
| 947 |
+
Rayar's Mess,food,Restaurant,Chennai
|
| 948 |
+
Buhari Hotel,food,Restaurant,Chennai
|
| 949 |
+
Sangeetha Veg Restaurant,food,Restaurant,Chennai
|
| 950 |
+
Dindigul Thalappakatti,food,Restaurant,Dindigul
|
| 951 |
+
Amma Mess,food,Restaurant,Madurai
|
| 952 |
+
Konar Mess,food,Restaurant,Madurai
|
| 953 |
+
Murari's Jigarthanda,food,Dessert,Madurai
|
| 954 |
+
Paragon Restaurant,food,Restaurant,Kozhikode
|
| 955 |
+
Rahmath Hotel,food,Restaurant,Kozhikode
|
| 956 |
+
Dhe Puttu,food,Restaurant,Kochi
|
| 957 |
+
Kashi Art Cafe,food,Cafe,Kochi
|
| 958 |
+
Indian Coffee House,food,Restaurant,Kolkata
|
| 959 |
+
Peter Cat,food,Restaurant,Kolkata
|
| 960 |
+
Flurys,food,Bakery,Kolkata
|
| 961 |
+
Arsalan,food,Restaurant,Kolkata
|
| 962 |
+
Mocambo,food,Restaurant,Kolkata
|
| 963 |
+
Nahoum and Sons,food,Bakery,Kolkata
|
| 964 |
+
K.C. Das,food,Shop,Kolkata
|
| 965 |
+
6 Ballygunge Place,food,Restaurant,Kolkata
|
| 966 |
+
Bhojohori Manna,food,Restaurant,Kolkata
|
| 967 |
+
Mitra Cafe,food,Restaurant,Kolkata
|
| 968 |
+
Paramount Sherbets,food,Beverage,Kolkata
|
| 969 |
+
Glenary's,food,Bakery,Darjeeling
|
| 970 |
+
Keventers,food,Restaurant,Darjeeling
|
| 971 |
+
Paradise Biryani,food,Restaurant,Hyderabad
|
| 972 |
+
Bawarchi,food,Restaurant,Hyderabad
|
| 973 |
+
Shah Ghouse,food,Restaurant,Hyderabad
|
| 974 |
+
Cafe Bahar,food,Restaurant,Hyderabad
|
| 975 |
+
Ram Ki Bandi,food,Street Food,Hyderabad
|
| 976 |
+
Gokul Chat,food,Street Food,Hyderabad
|
| 977 |
+
Nimrah Cafe,food,Cafe,Hyderabad
|
| 978 |
+
Subbayya Gari Hotel,food,Restaurant,Kakinada
|
| 979 |
+
Babai Hotel,food,Restaurant,Vijayawada
|
| 980 |
+
Ramayya Mess,food,Restaurant,Vijayawada
|
| 981 |
+
Netaji Sweets,food,Shop,Cuttack
|
| 982 |
+
Pahadi Pattal,food,Restaurant,Ranchi
|
| 983 |
+
Litti Chokha at Maurya Lok,food,Street Food,Patna
|
| 984 |
+
Chappan Bhog,food,Shop,Lucknow
|
| 985 |
+
Netram Sweets,food,Restaurant,Lucknow
|
| 986 |
+
Thaggu Ke Laddu,food,Shop,Kanpur
|
| 987 |
+
Baba Biryani,food,Restaurant,Kanpur
|
| 988 |
+
Pahalwan Lassi,food,Beverage,Varanasi
|
| 989 |
+
Blue Lassi,food,Beverage,Varanasi
|
| 990 |
+
Kashi Chat Bhandar,food,Street Food,Varanasi
|
| 991 |
+
Deena Chat Bhandar,food,Street Food,Varanasi
|
| 992 |
+
Ram Bhandar,food,Restaurant,Varanasi
|
| 993 |
+
Baati Chokha Restaurant,food,Restaurant,Varanasi
|
| 994 |
+
Kerala House,food,Restaurant,Delhi
|
| 995 |
+
Andhra Bhavan,food,Restaurant,Delhi
|
| 996 |
+
Carnatic Cafe,food,Restaurant,Delhi
|
| 997 |
+
Ama Cafe,food,Cafe,Delhi
|
| 998 |
+
Big Chill Cafe,food,Restaurant,Delhi
|
| 999 |
+
Indian Accent,food,Restaurant,Delhi
|
| 1000 |
+
Bukhara,food,Restaurant,Delhi
|
| 1001 |
+
Dum Pukht,food,Restaurant,Delhi
|
| 1002 |
+
Gulati,food,Restaurant,Delhi
|
| 1003 |
+
Havemore,food,Restaurant,Delhi
|
| 1004 |
+
Kake Da Hotel,food,Restaurant,Delhi
|
| 1005 |
+
United Coffee House,food,Restaurant,Delhi
|
| 1006 |
+
Kwality,food,Restaurant,Delhi
|
| 1007 |
+
Nizam's Kathi Kabab,food,Restaurant,Kolkata
|
| 1008 |
+
Kusum Rolls,food,Street Food,Kolkata
|
| 1009 |
+
Badal Sahu,food,Street Food,Cuttack
|
| 1010 |
+
Kishore Bhaina Mutton,food,Restaurant,Bhubaneswar
|
| 1011 |
+
Dalma,food,Restaurant,Bhubaneswar
|
| 1012 |
+
Tuna Kababi,food,Street Food,Bhubaneswar
|
| 1013 |
+
Lingaraj Lassi,food,Beverage,Bhubaneswar
|
| 1014 |
+
Hari Super Sandwich,food,Street Food,Bangalore
|
| 1015 |
+
Taaza Thindi,food,Restaurant,Bangalore
|
| 1016 |
+
Central Tiffin Room,food,Restaurant,Bangalore
|
| 1017 |
+
Chikkanna Tiffin Room,food,Restaurant,Bangalore
|
| 1018 |
+
Asha Sweets,food,Shop,Bangalore
|
| 1019 |
+
Sri Sairam's Chats,food,Street Food,Bangalore
|
| 1020 |
+
Fanoos,food,Restaurant,Bangalore
|
| 1021 |
+
Albert Bakery,food,Bakery,Bangalore
|
| 1022 |
+
Thom's Bakery,food,Bakery,Bangalore
|
| 1023 |
+
Variar Bakery,food,Bakery,Bangalore
|
| 1024 |
+
Mawlynnong,travel,Village,East Khasi Hills
|
| 1025 |
+
Double Decker Living Root Bridge,travel,Nature,Cherrapunji
|
| 1026 |
+
Tirthan Valley,nature,Valley,Kullu
|
| 1027 |
+
Chitkul,nature,Village,Kinnaur
|
| 1028 |
+
Kalpa,travel,Hill Station,Kinnaur
|
| 1029 |
+
Gurez Valley,nature,Valley,Bandipora
|
| 1030 |
+
Warwan Valley,nature,Valley,Kishtwar
|
| 1031 |
+
Bangus Valley,nature,Valley,Kupwara
|
| 1032 |
+
Sandhan Valley,nature,Adventure,Ahmednagar
|
| 1033 |
+
Lonar Crater,nature,Lake,Buldhana
|
| 1034 |
+
Thoseghar Waterfalls,nature,Waterfall,Satara
|
| 1035 |
+
Amboli Ghat,nature,Nature,Sindhudurg
|
| 1036 |
+
Tarkarli,nature,Beach,Sindhudurg
|
| 1037 |
+
Velas,travel,Beach,Ratnagiri
|
| 1038 |
+
Yana Rocks,nature,Nature,Uttara Kannada
|
| 1039 |
+
St. Mary's Island,nature,Island,Udupi
|
| 1040 |
+
Kudremukh,nature,Mountain,Chikmagalur
|
| 1041 |
+
Netrani Island,nature,Island,Uttara Kannada
|
| 1042 |
+
Pichavaram,nature,Nature,Cuddalore
|
| 1043 |
+
Kolli Hills,nature,Hill Station,Namakkal
|
| 1044 |
+
Mechuka,nature,Valley,Shi Yomi
|
| 1045 |
+
Ziro Valley,nature,Valley,Lower Subansiri
|
| 1046 |
+
Mayodia Pass,travel,Pass,Dibang Valley
|
| 1047 |
+
Haflong,nature,Hill Station,Dima Hasao
|
| 1048 |
+
Jatinga,travel,Nature,Dima Hasao
|
| 1049 |
+
Tranquebar (Tharangambadi),nature,Beach,Nagapattinam
|
| 1050 |
+
Chettinad,heritage,Architecture,Sivaganga
|
| 1051 |
+
Munroe Island,nature,Island,Kollam
|
| 1052 |
+
Gavi,nature,Nature,Pathanamthitta
|
| 1053 |
+
Vagamon,nature,Hill Station,Idukki
|
| 1054 |
+
Thenmala,nature,Nature,Kollam
|
| 1055 |
+
Ponmudi,nature,Hill Station,Thiruvananthapuram
|
| 1056 |
+
Lepchajagat,nature,Hill Station,Darjeeling
|
| 1057 |
+
Sandakphu,travel,Mountain,Darjeeling
|
| 1058 |
+
Bhitarkanika National Park,nature,Wildlife,Kendrapara
|
| 1059 |
+
Daringbadi,travel,Hill Station,Kandhamal
|
| 1060 |
+
Hirakud Dam,nature,Nature,Sambalpur
|
| 1061 |
+
Patalkot,nature,Valley,Chhindwara
|
| 1062 |
+
Bhedaghat,travel,Nature,Jabalpur
|
| 1063 |
+
Pachmarhi,nature,Hill Station,Hoshangabad
|
| 1064 |
+
Orchha,heritage,City,Niwari
|
| 1065 |
+
Bhimbetka Rock Shelters,heritage,Caves,Raisen
|
| 1066 |
+
Mandu,heritage,Ruins,Dhar
|
| 1067 |
+
Chanderi,heritage,City,Ashoknagar
|
| 1068 |
+
Kuno National Park,nature,Wildlife,Sheopur
|
| 1069 |
+
Panna National Park,nature,Wildlife,Panna
|
| 1070 |
+
Bandhavgarh National Park,nature,Wildlife,Umaria
|
| 1071 |
+
Tadoba Andhari Tiger Reserve,travel,Wildlife,Chandrapur
|
| 1072 |
+
Magnetic Hill,nature,Nature,Ladakh
|
| 1073 |
+
Lamayuru,travel,Nature,Ladakh
|
| 1074 |
+
Hanle,travel,Nature,Ladakh
|
| 1075 |
+
Umling La,travel,Pass,Ladakh
|
| 1076 |
+
Khardung La,travel,Pass,Ladakh
|
| 1077 |
+
Baralacha La,travel,Pass,Lahaul and Spiti
|
| 1078 |
+
Chandratal,nature,Lake,Lahaul and Spiti
|
| 1079 |
+
Dhankar Lake,nature,Lake,Lahaul and Spiti
|
| 1080 |
+
Pin Valley National Park,nature,Wildlife,Lahaul and Spiti
|
| 1081 |
+
Nako Lake,nature,Lake,Kinnaur
|
| 1082 |
+
Reckong Peo,travel,Hill Station,Kinnaur
|
| 1083 |
+
Sangla Valley,nature,Valley,Kinnaur
|
| 1084 |
+
Rakcham,travel,Village,Kinnaur
|
| 1085 |
+
Jibhi,nature,Hill Station,Kullu
|
| 1086 |
+
Shoja,travel,Hill Station,Kullu
|
| 1087 |
+
Jalori Pass,nature,Pass,Kullu
|
| 1088 |
+
Serolsar Lake,nature,Lake,Kullu
|
| 1089 |
+
Great Himalayan National Park,nature,Wildlife,Kullu
|
| 1090 |
+
Prashar Lake,nature,Lake,Mandi
|
| 1091 |
+
Barot Valley,nature,Valley,Mandi
|
| 1092 |
+
Rewalsar Lake,nature,Lake,Mandi
|
| 1093 |
+
Janjheli,travel,Valley,Mandi
|
| 1094 |
+
Shikari Devi Temple,heritage,Temple,Mandi
|
| 1095 |
+
Bishnupur,heritage,City,Bankura
|
| 1096 |
+
Murshidabad,heritage,City,Murshidabad
|
| 1097 |
+
Maluti,heritage,Village,Dumka
|
| 1098 |
+
Sirpur,heritage,Ruins,Mahasamund
|
| 1099 |
+
Bhoramdeo,heritage,Temple,Kabirdham
|
| 1100 |
+
Burhanpur,heritage,City,Burhanpur
|
| 1101 |
+
Asirgarh Fort,heritage,Fort,Burhanpur
|
| 1102 |
+
Bateshwar,heritage,Temple,Morena
|
| 1103 |
+
Mitavali,heritage,Temple,Morena
|
| 1104 |
+
Padavali,heritage,Temple,Morena
|
| 1105 |
+
Kalanjar Fort,heritage,Fort,Banda
|
| 1106 |
+
Chunar Fort,heritage,Fort,Mirzapur
|
| 1107 |
+
Kushinagar,heritage,City,Kushinagar
|
| 1108 |
+
Shravasti,heritage,City,Shravasti
|
| 1109 |
+
Bhitargaon,heritage,Temple,Kanpur
|
| 1110 |
+
Deogarh,heritage,Temple,Lalitpur
|
| 1111 |
+
Eran,heritage,Ruins,Sagar
|
| 1112 |
+
Udayagiri Caves,heritage,Caves,Vidisha
|
| 1113 |
+
Bhojpur,heritage,Temple,Raisen
|
| 1114 |
+
Maheshwar,heritage,City,Khargone
|
| 1115 |
+
Omkareshwar,heritage,Temple,Khandwa
|
| 1116 |
+
Bundi,heritage,City,Bundi
|
| 1117 |
+
Kiradu Temples,heritage,Temple,Barmer
|
| 1118 |
+
Osian,heritage,Temple,Jodhpur
|
| 1119 |
+
Nagaur Fort,heritage,Fort,Nagaur
|
| 1120 |
+
Gagron Fort,heritage,Fort,Jhalawar
|
| 1121 |
+
Abhaneri,heritage,Stepwell,Dausa
|
| 1122 |
+
Shekhawati,heritage,Region,Rajasthan
|
| 1123 |
+
Siddhpur,heritage,City,Patan
|
| 1124 |
+
Palitana,heritage,Temple,Bhavnagar
|
| 1125 |
+
Prag Mahal,heritage,Palace,Kutch
|
| 1126 |
+
Aina Mahal,heritage,Palace,Kutch
|
| 1127 |
+
Shivneri Fort,heritage,Fort,Pune
|
| 1128 |
+
Lohagad,heritage,Fort,Pune
|
| 1129 |
+
Belur,heritage,Temple,Hassan
|
| 1130 |
+
Halebidu,heritage,Temple,Hassan
|
| 1131 |
+
Srirangapatna,heritage,City,Mandya
|
| 1132 |
+
Somnathpur,heritage,Temple,Mysuru
|
| 1133 |
+
Lepakshi,heritage,Temple,Anantapur
|
| 1134 |
+
Alampur Jogulamba,heritage,Temple,Jogulamba Gadwal
|
| 1135 |
+
Nagarjunakonda,heritage,Island,Guntur
|
| 1136 |
+
Talakadu,heritage,Temple,Mysuru
|
| 1137 |
+
Melukote,heritage,Temple,Mandya
|
| 1138 |
+
Basar,heritage,Temple,Nirmal
|
| 1139 |
+
Paigah Tombs,heritage,Mausoleum,Hyderabad
|
| 1140 |
+
Tughlaqabad Fort,heritage,Fort,Delhi
|
| 1141 |
+
Safdarjung Tomb,heritage,Mausoleum,Delhi
|
| 1142 |
+
Mehrauli Archaeological Park,heritage,Park,Delhi
|
| 1143 |
+
Hauz Khas Complex,heritage,Ruins,Delhi
|
| 1144 |
+
Parsi Dairy Farm,food,Shop,Mumbai
|
| 1145 |
+
Candies,food,Cafe,Mumbai
|
| 1146 |
+
Gajalee,food,Restaurant,Mumbai
|
| 1147 |
+
Jai Hind Lunch Home,food,Restaurant,Mumbai
|
| 1148 |
+
Cafe Madras,food,Restaurant,Mumbai
|
| 1149 |
+
Ram Ashraya,food,Restaurant,Mumbai
|
| 1150 |
+
Mani's Lunch Home,food,Restaurant,Mumbai
|
| 1151 |
+
Lucky Restaurant,food,Restaurant,Mumbai
|
| 1152 |
+
Noor Mohammadi Hotel,food,Restaurant,Mumbai
|
| 1153 |
+
Bagdadi,food,Restaurant,Mumbai
|
| 1154 |
+
Cafe Mondegar,food,Restaurant,Mumbai
|
| 1155 |
+
K. Rustom Ice Cream,food,Dessert,Mumbai
|
| 1156 |
+
Naturals Ice Cream,food,Dessert,Mumbai
|
| 1157 |
+
Amar Juice Centre,food,Street Food,Mumbai
|
| 1158 |
+
Elco Pani Puri,food,Street Food,Mumbai
|
| 1159 |
+
Swati Snacks,food,Restaurant,Mumbai
|
| 1160 |
+
Soam,food,Restaurant,Mumbai
|
| 1161 |
+
Bhagat Tarachand,food,Restaurant,Mumbai
|
| 1162 |
+
Crystal,food,Restaurant,Mumbai
|
| 1163 |
+
Guru Kripa,food,Restaurant,Mumbai
|
| 1164 |
+
Merwans,food,Bakery,Mumbai
|
| 1165 |
+
Yazdani Bakery,food,Bakery,Mumbai
|
| 1166 |
+
Ideal Ice Cream,food,Dessert,Mangalore
|
| 1167 |
+
Pabbas,food,Dessert,Mangalore
|
| 1168 |
+
Giri Manja's,food,Restaurant,Mangalore
|
| 1169 |
+
Machali,food,Restaurant,Mangalore
|
| 1170 |
+
Shetty Lunch Home,food,Restaurant,Mangalore
|
| 1171 |
+
Karachi Bakery,food,Bakery,Hyderabad
|
| 1172 |
+
Hameedi Confectioners,food,Shop,Hyderabad
|
| 1173 |
+
Pista House,food,Restaurant,Hyderabad
|
| 1174 |
+
Hotel Shadab,food,Restaurant,Hyderabad
|
| 1175 |
+
Hotel Nayab,food,Restaurant,Hyderabad
|
| 1176 |
+
Grand Hotel,food,Restaurant,Hyderabad
|
| 1177 |
+
Meridian Restaurant,food,Restaurant,Hyderabad
|
| 1178 |
+
Chutneys,food,Restaurant,Hyderabad
|
| 1179 |
+
Minerva Coffee Shop,food,Restaurant,Hyderabad
|
| 1180 |
+
Rayalaseema Ruchulu,food,Restaurant,Hyderabad
|
| 1181 |
+
Ulavacharu,food,Restaurant,Hyderabad
|
| 1182 |
+
Santosh Dhaba,food,Restaurant,Hyderabad
|
| 1183 |
+
Pragati Tiffin Centre,food,Street Food,Hyderabad
|
| 1184 |
+
Govind Dosa,food,Street Food,Hyderabad
|
| 1185 |
+
Famous Ice Cream,food,Dessert,Hyderabad
|
| 1186 |
+
Subhan Bakery,food,Bakery,Hyderabad
|
| 1187 |
+
Niloufer Cafe,food,Cafe,Hyderabad
|
| 1188 |
+
Alpha Hotel,food,Restaurant,Hyderabad
|
| 1189 |
+
Ritz Classic,food,Restaurant,Panjim
|
| 1190 |
+
Copperleaf,food,Restaurant,Porvorim
|
| 1191 |
+
Fat Fish,food,Restaurant,Baga
|
| 1192 |
+
Artjuna,food,Cafe,Anjuna
|
| 1193 |
+
Eva Cafe,food,Cafe,Anjuna
|
| 1194 |
+
Curlies,food,Restaurant,Anjuna
|
| 1195 |
+
Lila Cafe,food,Cafe,Baga
|
| 1196 |
+
La Plage,food,Restaurant,Ashwem
|
| 1197 |
+
Antares,food,Restaurant,Vagator
|
| 1198 |
+
Titlie,food,Restaurant,Vagator
|
| 1199 |
+
Purple Martini,food,Restaurant,Anjuna
|
| 1200 |
+
Joseph Bar,food,Bar,Panjim
|
| 1201 |
+
Bean Me Up,food,Restaurant,Vagator
|
| 1202 |
+
Anand Seafood,food,Restaurant,Anjuna
|
| 1203 |
+
Black Sheep Bistro,food,Restaurant,Panjim
|
| 1204 |
+
Nostalgia,food,Restaurant,Raia
|
| 1205 |
+
Zeebop,food,Restaurant,Utorda
|
| 1206 |
+
Magic Italy,food,Restaurant,Palolem
|
| 1207 |
+
Kismoor,food,Restaurant,Sangolda
|
| 1208 |
+
Burger Factory (Morjim),food,Restaurant,Morjim
|
| 1209 |
+
Subway (Not the chain),food,Restaurant,Goa
|
| 1210 |
+
Sakana,food,Restaurant,Anjuna
|
| 1211 |
+
Bomra's,food,Restaurant,Anjuna
|
| 1212 |
+
Baba Au Rhum,food,Cafe,Anjuna
|
| 1213 |
+
Mojigao,food,Cafe,Assagao
|
| 1214 |
+
Khorjuem Fort,heritage,Fort,Aldona
|
| 1215 |
+
Corjuem Fort,heritage,Fort,Aldona
|
| 1216 |
+
Fort Tiracol,heritage,Fort,Pernem
|
| 1217 |
+
Sinquerim Fort,heritage,Fort,Sinquerim
|
| 1218 |
+
Mormugao Fort,heritage,Fort,Vasco
|
| 1219 |
+
Rachol Seminary,heritage,Monument,Rachol
|
| 1220 |
+
Mawphlang Sacred Forest,nature,Nature,East Khasi Hills
|
| 1221 |
+
Nohkalikai Falls,nature,Waterfall,Cherrapunji
|
| 1222 |
+
Seven Sisters Falls,nature,Waterfall,Cherrapunji
|
| 1223 |
+
Wei Sawdong,nature,Waterfall,Cherrapunji
|
| 1224 |
+
Krang Suri Falls,nature,Waterfall,West Jaintia Hills
|
| 1225 |
+
Phe Phe Falls,nature,Waterfall,West Jaintia Hills
|
| 1226 |
+
Umiam Lake,nature,Lake,Ri Bhoi
|
| 1227 |
+
Laitlum Canyons,travel,Nature,East Khasi Hills
|
| 1228 |
+
Shnongpdeng,travel,Nature,West Jaintia Hills
|
| 1229 |
+
Kongthong,travel,Village,East Khasi Hills
|
| 1230 |
+
Sualkuchi,heritage,Village,Kamrup
|
| 1231 |
+
Hajo,heritage,City,Kamrup
|
| 1232 |
+
Pobitora Wildlife Sanctuary,nature,Wildlife,Morigaon
|
| 1233 |
+
Manas National Park,nature,Wildlife,Baksa
|
| 1234 |
+
Nameri National Park,nature,Wildlife,Sonitpur
|
| 1235 |
+
Sivasagar,heritage,City,Sivasagar
|
| 1236 |
+
Rang Ghar,heritage,Monument,Sivasagar
|
| 1237 |
+
Talatal Ghar,heritage,Palace,Sivasagar
|
| 1238 |
+
Charaideo Maidams,heritage,Ruins,Charaideo
|
| 1239 |
+
Umananda Island,nature,Island,Guwahati
|
| 1240 |
+
Mayong,travel,Village,Morigaon
|
| 1241 |
+
Bum La Pass,travel,Pass,Tawang
|
| 1242 |
+
Madhuri Lake,nature,Lake,Tawang
|
| 1243 |
+
Nuranang Falls,nature,Waterfall,Tawang
|
| 1244 |
+
Dirang,nature,Valley,West Kameng
|
| 1245 |
+
Namdapha National Park,nature,Wildlife,Changlang
|
| 1246 |
+
Pakke Tiger Reserve,nature,Wildlife,East Kameng
|
| 1247 |
+
Roing,nature,Nature,Lower Dibang Valley
|
| 1248 |
+
Dong,travel,Nature,Anjaw
|
| 1249 |
+
Parshuram Kund,heritage,Temple,Lohit
|
| 1250 |
+
Golden Pagoda,heritage,Temple,Namsai
|
| 1251 |
+
Kangla Fort,heritage,Fort,Imphal
|
| 1252 |
+
Ima Keithel,cultural,Market,Imphal
|
| 1253 |
+
Khonoma,travel,Village,Kohima
|
| 1254 |
+
Japfu Peak,nature,Mountain,Kohima
|
| 1255 |
+
Longwa,travel,Village,Mon
|
| 1256 |
+
Mon,travel,Village,Mon
|
| 1257 |
+
Doyang River,nature,Nature,Wokha
|
| 1258 |
+
Reiek,nature,Mountain,Mamit
|
| 1259 |
+
Phawngpui,nature,Mountain,Lawngtlai
|
| 1260 |
+
Vantawng Falls,nature,Waterfall,Serchhip
|
| 1261 |
+
Neermahal,heritage,Palace,Sepahijala
|
| 1262 |
+
Ujjayanta Palace,heritage,Palace,Agartala
|
| 1263 |
+
Chabimura,heritage,Nature,Gomati
|
| 1264 |
+
Tripura Sundari Temple,heritage,Temple,Udaipur
|
| 1265 |
+
Tashi View Point,travel,Viewpoint,Gangtok
|
| 1266 |
+
Khecheopalri Lake,nature,Lake,West Sikkim
|
| 1267 |
+
Ravangla,travel,Hill Station,South Sikkim
|
| 1268 |
+
Namchi,travel,Hill Station,South Sikkim
|
| 1269 |
+
Zuluk,travel,Hill Station,East Sikkim
|
| 1270 |
+
Zero Point,travel,Nature,North Sikkim
|
| 1271 |
+
Lachung,nature,Village,North Sikkim
|
| 1272 |
+
Lachen,travel,Village,North Sikkim
|
| 1273 |
+
Temi Tea Garden,nature,Nature,South Sikkim
|
| 1274 |
+
Singshore Bridge,travel,Bridge,West Sikkim
|
| 1275 |
+
Mawryngkhang Trek,travel,Adventure,East Khasi Hills
|
| 1276 |
+
David Scott Trail,travel,Adventure,East Khasi Hills
|
| 1277 |
+
Nartiang Monoliths,heritage,Monument,West Jaintia Hills
|
| 1278 |
+
Siju Caves,nature,Caves,South Garo Hills
|
| 1279 |
+
Balpakram National Park,nature,Wildlife,South Garo Hills
|
| 1280 |
+
Nokrek National Park,nature,Wildlife,East Garo Hills
|
| 1281 |
+
Tyrshi Falls,nature,Waterfall,West Jaintia Hills
|
| 1282 |
+
Thadlaskein Lake,nature,Lake,West Jaintia Hills
|
| 1283 |
+
Ward's Lake,nature,Lake,Shillong
|
| 1284 |
+
Elephant Falls,nature,Waterfall,Shillong
|
| 1285 |
+
Don Bosco Museum,heritage,Museum,Shillong
|
| 1286 |
+
Mawlyngot,travel,Village,East Khasi Hills
|
| 1287 |
+
Mawphanlur,nature,Village,West Khasi Hills
|
| 1288 |
+
Nongkhnum Island,nature,Island,West Khasi Hills
|
| 1289 |
+
Jakrem,travel,Nature,South West Khasi Hills
|
| 1290 |
+
Ranikor,nature,Nature,South West Khasi Hills
|
| 1291 |
+
Deepor Beel,travel,Wildlife,Guwahati
|
| 1292 |
+
Basistha Ashram,heritage,Temple,Guwahati
|
| 1293 |
+
Navagraha Temple,heritage,Temple,Guwahati
|
| 1294 |
+
Akashiganga,heritage,Temple,Siang
|
| 1295 |
+
Malinithan,heritage,Ruins,Siang
|
| 1296 |
+
Bhismaknagar,heritage,Ruins,Lower Dibang Valley
|
| 1297 |
+
Imphal War Cemetery,heritage,Memorial,Imphal
|
| 1298 |
+
Shree Govindajee Temple,heritage,Temple,Imphal
|
| 1299 |
+
Willong Khullen,heritage,Monument,Senapati
|
| 1300 |
+
Kisama Heritage Village,cultural,Village,Kohima
|
| 1301 |
+
Kachari Ruins,heritage,Ruins,Dimapur
|
| 1302 |
+
Shilloi Lake,nature,Lake,Phek
|
| 1303 |
+
Solomon's Temple,heritage,Church,Aizawl
|
| 1304 |
+
Murlen National Park,nature,Wildlife,Champhai
|
| 1305 |
+
Dampa Tiger Reserve,nature,Wildlife,Mamit
|
| 1306 |
+
Palak Dil,nature,Lake,Saiha
|
| 1307 |
+
Tam Dil,nature,Lake,Aizawl
|
| 1308 |
+
Rih Dil,nature,Lake,Champhai
|
| 1309 |
+
Falkawn,cultural,Village,Aizawl
|
| 1310 |
+
Hmuifang,nature,Mountain,Aizawl
|
| 1311 |
+
Sepahijala Wildlife Sanctuary,nature,Wildlife,Sepahijala
|
| 1312 |
+
Jampui Hills,nature,Hill Station,North Tripura
|
| 1313 |
+
Pilak,heritage,Ruins,South Tripura
|
| 1314 |
+
Bhubaneswari Temple,heritage,Temple,Udaipur
|
| 1315 |
+
Boxanagar,heritage,Ruins,Sepahijala
|
| 1316 |
+
Gunavati Group of Temples,heritage,Temple,Udaipur
|
| 1317 |
+
Enchey Monastery,heritage,Monastery,Gangtok
|
| 1318 |
+
Ganesh Tok,travel,Viewpoint,Gangtok
|
| 1319 |
+
Hanuman Tok,travel,Viewpoint,Gangtok
|
| 1320 |
+
Ban Jhakri Falls,nature,Waterfall,Gangtok
|
| 1321 |
+
Bakthang Falls,nature,Waterfall,Gangtok
|
| 1322 |
+
Kanchenjunga Falls,nature,Waterfall,West Sikkim
|
| 1323 |
+
Rabdentse Ruins,heritage,Ruins,West Sikkim
|
| 1324 |
+
Yuksom,heritage,Village,West Sikkim
|
| 1325 |
+
Dubdi Monastery,heritage,Monastery,West Sikkim
|
| 1326 |
+
Tashiding Monastery,heritage,Monastery,West Sikkim
|
| 1327 |
+
Thambi View Point,travel,Viewpoint,East Sikkim
|
| 1328 |
+
Aritar Lake,nature,Lake,East Sikkim
|
| 1329 |
+
Katao,nature,Nature,North Sikkim
|
| 1330 |
+
Chopta Valley,nature,Valley,North Sikkim
|
| 1331 |
+
Thangu Valley,nature,Valley,North Sikkim
|
| 1332 |
+
Green Lake,nature,Lake,North Sikkim
|
intent_classifier.py
ADDED
|
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
FILE: intent_classifier.py (ENHANCED VERSION)
|
| 3 |
+
|
| 4 |
+
PURPOSE:
|
| 5 |
+
- Detect user intent from natural text using Semantic Similarity
|
| 6 |
+
- Route query into domains aligned with the expanded dataset: FOOD / HERITAGE / TRAVEL / CULTURAL / ARCHITECTURE / NATURE
|
| 7 |
+
- Uses SentenceTransformer for robust understanding beyond keywords
|
| 8 |
+
"""
|
| 9 |
+
|
| 10 |
+
from sentence_transformers import SentenceTransformer, util
|
| 11 |
+
import torch
|
| 12 |
+
|
| 13 |
+
# Define domain prototypes aligned with the dataset's actual domains
|
| 14 |
+
DOMAIN_PROTOTYPES = {
|
| 15 |
+
"food": "I want to eat delicious food, snacks, dishes, sweets, desserts, breakfast, lunch, dinner, restaurants, street food, traditional cuisine, beverages.",
|
| 16 |
+
|
| 17 |
+
"heritage": "I want to visit historical sites, ancient monuments, forts, palaces, museums, archaeological ruins, tombs, heritage buildings, UNESCO sites, historical architecture.",
|
| 18 |
+
|
| 19 |
+
"travel": "I want to travel and explore places like hill stations, valleys, mountains, passes, trekking spots, adventure destinations, offbeat locations, hidden gems, scenic viewpoints, roads.",
|
| 20 |
+
|
| 21 |
+
"nature": "I want to experience nature through waterfalls, lakes, rivers, forests, wildlife sanctuaries, national parks, caves, islands, beaches, natural landscapes, gardens.",
|
| 22 |
+
|
| 23 |
+
"cultural": "I want to experience culture through festivals, traditional events, art forms, folk performances, local customs, tribal culture, villages, markets, handlooms, crafts.",
|
| 24 |
+
|
| 25 |
+
"architecture": "I want to see beautiful architecture, design, structures, buildings, temples, churches, mosques, monasteries, modern architecture, engineering marvels."
|
| 26 |
+
}
|
| 27 |
+
|
| 28 |
+
class IntentClassifier:
|
| 29 |
+
def __init__(self, model_name="all-MiniLM-L6-v2"):
|
| 30 |
+
print(f"🧠 Loading Intent Classifier Model: {model_name}...")
|
| 31 |
+
self.model = SentenceTransformer(model_name)
|
| 32 |
+
|
| 33 |
+
# Pre-compute embeddings for domain prototypes
|
| 34 |
+
self.domains = list(DOMAIN_PROTOTYPES.keys())
|
| 35 |
+
self.prototypes = list(DOMAIN_PROTOTYPES.values())
|
| 36 |
+
self.prototype_embeddings = self.model.encode(self.prototypes, convert_to_tensor=True)
|
| 37 |
+
print("✅ Intent Classifier Ready")
|
| 38 |
+
|
| 39 |
+
def predict_intent(self, query: str, threshold: float = 0.25) -> str:
|
| 40 |
+
"""
|
| 41 |
+
Predicts the intent of the query based on semantic similarity to domain prototypes.
|
| 42 |
+
Returns 'general' if the highest similarity score is below the threshold.
|
| 43 |
+
"""
|
| 44 |
+
query_embedding = self.model.encode(query, convert_to_tensor=True)
|
| 45 |
+
|
| 46 |
+
# Compute cosine similarity
|
| 47 |
+
cosine_scores = util.cos_sim(query_embedding, self.prototype_embeddings)[0]
|
| 48 |
+
|
| 49 |
+
# Find the best match
|
| 50 |
+
best_score, best_index = torch.max(cosine_scores, dim=0)
|
| 51 |
+
best_score = best_score.item()
|
| 52 |
+
best_domain = self.domains[best_index]
|
| 53 |
+
|
| 54 |
+
# Debug output (can be uncommented for testing)
|
| 55 |
+
# print(f"DEBUG: Query='{query}' | Best Match='{best_domain}' ({best_score:.4f})")
|
| 56 |
+
|
| 57 |
+
if best_score < threshold:
|
| 58 |
+
return "general"
|
| 59 |
+
|
| 60 |
+
return best_domain
|
| 61 |
+
|
| 62 |
+
# Backwards compatibility wrapper
|
| 63 |
+
_shared_classifier = None
|
| 64 |
+
|
| 65 |
+
def classify_intent(query: str):
|
| 66 |
+
global _shared_classifier
|
| 67 |
+
if _shared_classifier is None:
|
| 68 |
+
_shared_classifier = IntentClassifier()
|
| 69 |
+
return _shared_classifier.predict_intent(query)
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
# Enhanced test suite
|
| 73 |
+
if __name__ == "__main__":
|
| 74 |
+
classifier = IntentClassifier()
|
| 75 |
+
|
| 76 |
+
test_queries = [
|
| 77 |
+
# Food queries
|
| 78 |
+
("spicy masala dosa bangalore", "food"),
|
| 79 |
+
("sweet Indian dessert", "food"),
|
| 80 |
+
("iconic restaurant butter chicken", "food"),
|
| 81 |
+
|
| 82 |
+
# Heritage queries
|
| 83 |
+
("ancient fort in rajasthan", "heritage"),
|
| 84 |
+
("historical monuments", "heritage"),
|
| 85 |
+
("mughal palace", "heritage"),
|
| 86 |
+
|
| 87 |
+
# Travel queries
|
| 88 |
+
("valley of flowers nagaland", "travel"),
|
| 89 |
+
("hill station honeymoon", "travel"),
|
| 90 |
+
("trekking adventure ladakh", "travel"),
|
| 91 |
+
("mountain pass", "travel"),
|
| 92 |
+
|
| 93 |
+
# Nature queries
|
| 94 |
+
("hidden waterfall meghalaya", "nature"),
|
| 95 |
+
("wildlife sanctuary", "nature"),
|
| 96 |
+
("national park tigers", "nature"),
|
| 97 |
+
("beautiful lake", "nature"),
|
| 98 |
+
|
| 99 |
+
# Cultural queries
|
| 100 |
+
("traditional festival", "cultural"),
|
| 101 |
+
("tribal village", "cultural"),
|
| 102 |
+
("folk art performance", "cultural"),
|
| 103 |
+
|
| 104 |
+
# Architecture queries
|
| 105 |
+
("temple architecture", "architecture"),
|
| 106 |
+
("beautiful building design", "architecture"),
|
| 107 |
+
|
| 108 |
+
# General/Ambiguous
|
| 109 |
+
("random gibberish text", "general"),
|
| 110 |
+
]
|
| 111 |
+
|
| 112 |
+
print("\n" + "="*60)
|
| 113 |
+
print("INTENT CLASSIFIER TEST RESULTS")
|
| 114 |
+
print("="*60)
|
| 115 |
+
|
| 116 |
+
correct = 0
|
| 117 |
+
total = len(test_queries)
|
| 118 |
+
|
| 119 |
+
for query, expected in test_queries:
|
| 120 |
+
predicted = classifier.predict_intent(query)
|
| 121 |
+
is_correct = predicted == expected
|
| 122 |
+
correct += is_correct
|
| 123 |
+
|
| 124 |
+
status = "✅" if is_correct else "❌"
|
| 125 |
+
print(f"{status} Query: '{query}'")
|
| 126 |
+
print(f" Expected: {expected} | Predicted: {predicted}\n")
|
| 127 |
+
|
| 128 |
+
print("="*60)
|
| 129 |
+
print(f"ACCURACY: {correct}/{total} ({round(correct/total * 100, 1)}%)")
|
| 130 |
+
print("="*60)
|
keyword_boosting_layer.py
ADDED
|
@@ -0,0 +1,186 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
FILE: keyword_boosting_layer.py (ENHANCED VERSION)
|
| 3 |
+
|
| 4 |
+
PURPOSE:
|
| 5 |
+
- Advanced keyword-based boosting for final score refinement
|
| 6 |
+
- Exact match detection for precise results
|
| 7 |
+
- Location-based boosting
|
| 8 |
+
- Expanded category coverage
|
| 9 |
+
"""
|
| 10 |
+
|
| 11 |
+
import re
|
| 12 |
+
from difflib import SequenceMatcher
|
| 13 |
+
|
| 14 |
+
# ---------------- KEYWORD CATEGORIES ----------------
|
| 15 |
+
|
| 16 |
+
ROMANTIC_BOOST_WORDS = [
|
| 17 |
+
"love", "romantic", "couple", "honeymoon", "beautiful", "sunset",
|
| 18 |
+
"palace", "view", "lake", "memories", "historic", "architecture"
|
| 19 |
+
]
|
| 20 |
+
|
| 21 |
+
SPIRITUAL_BOOST = [
|
| 22 |
+
"peace", "meditation", "spiritual", "calm", "holy", "divine", "quiet",
|
| 23 |
+
"temple", "church", "mosque", "monastery", "shrine", "sacred"
|
| 24 |
+
]
|
| 25 |
+
|
| 26 |
+
FOOD_SPICY = [
|
| 27 |
+
"spicy", "masala", "hot", "tangy", "flavour", "chilli", "pepper"
|
| 28 |
+
]
|
| 29 |
+
|
| 30 |
+
ADVENTURE_BOOST = [
|
| 31 |
+
"trek", "hike", "camping", "rafting", "adventure", "mountain", "climb",
|
| 32 |
+
"rappelling", "kayaking", "paragliding", "safari", "jungle"
|
| 33 |
+
]
|
| 34 |
+
|
| 35 |
+
NATURE_BOOST = [
|
| 36 |
+
"waterfall", "lake", "forest", "valley", "river", "hill", "mountain",
|
| 37 |
+
"beach", "nature", "wildlife", "scenic", "green", "meadow", "canyon"
|
| 38 |
+
]
|
| 39 |
+
|
| 40 |
+
HERITAGE_BOOST = [
|
| 41 |
+
"fort", "palace", "museum", "ruins", "ancient", "heritage", "historic",
|
| 42 |
+
"archaeological", "monument", "tomb", "temple", "architecture"
|
| 43 |
+
]
|
| 44 |
+
|
| 45 |
+
SHOPPING_BOOST = [
|
| 46 |
+
"market", "bazaar", "silk", "saree", "shopping", "handicraft", "souvenir",
|
| 47 |
+
"textile", "jewellery", "craft"
|
| 48 |
+
]
|
| 49 |
+
|
| 50 |
+
FOOD_GENERAL = [
|
| 51 |
+
"authentic", "street food", "cafe", "bakery", "restaurant", "cuisine",
|
| 52 |
+
"traditional", "local food", "breakfast", "lunch", "dinner"
|
| 53 |
+
]
|
| 54 |
+
|
| 55 |
+
# Indian states and major cities for location matching
|
| 56 |
+
INDIAN_LOCATIONS = [
|
| 57 |
+
"delhi", "mumbai", "bangalore", "bengaluru", "kolkata", "chennai", "hyderabad",
|
| 58 |
+
"pune", "ahmedabad", "jaipur", "lucknow", "varanasi", "banaras", "agra",
|
| 59 |
+
"goa", "kerala", "karnataka", "tamil nadu", "maharashtra", "rajasthan",
|
| 60 |
+
"gujarat", "punjab", "himachal pradesh", "uttarakhand", "kashmir", "jammu",
|
| 61 |
+
"meghalaya", "assam", "nagaland", "manipur", "tripura", "mizoram", "sikkim",
|
| 62 |
+
"west bengal", "odisha", "chhattisgarh", "madhya pradesh", "uttar pradesh",
|
| 63 |
+
"bihar", "jharkhand", "andhra pradesh", "telangana", "ladakh", "arunachal pradesh",
|
| 64 |
+
"shillong", "guwahati", "imphal", "kohima", "gangtok", "darjeeling"
|
| 65 |
+
]
|
| 66 |
+
|
| 67 |
+
# ---------------- HELPER FUNCTIONS ----------------
|
| 68 |
+
|
| 69 |
+
def similarity_ratio(a, b):
|
| 70 |
+
"""Calculate similarity between two strings (0.0 to 1.0)"""
|
| 71 |
+
return SequenceMatcher(None, a.lower(), b.lower()).ratio()
|
| 72 |
+
|
| 73 |
+
def extract_location_from_query(query):
|
| 74 |
+
"""Extract potential location names from query"""
|
| 75 |
+
query_lower = query.lower()
|
| 76 |
+
found_locations = []
|
| 77 |
+
for loc in INDIAN_LOCATIONS:
|
| 78 |
+
if loc in query_lower:
|
| 79 |
+
found_locations.append(loc)
|
| 80 |
+
return found_locations
|
| 81 |
+
|
| 82 |
+
# ---------------- MAIN BOOSTING FUNCTION ----------------
|
| 83 |
+
|
| 84 |
+
def apply_keyword_boost(query, candidates):
|
| 85 |
+
"""
|
| 86 |
+
Apply advanced keyword boosting to candidates.
|
| 87 |
+
|
| 88 |
+
Args:
|
| 89 |
+
query: User query string
|
| 90 |
+
candidates: List of candidate dictionaries with 'name', 'text', 'region', 'state', etc.
|
| 91 |
+
|
| 92 |
+
Returns:
|
| 93 |
+
Sorted list of candidates with 'final_score' field
|
| 94 |
+
"""
|
| 95 |
+
query_lower = query.lower()
|
| 96 |
+
query_locations = extract_location_from_query(query_lower)
|
| 97 |
+
|
| 98 |
+
for item in candidates:
|
| 99 |
+
# Start with rerank score or embedding score
|
| 100 |
+
base_score = float(item.get("rerank_score", item.get("embedding_score", 0)))
|
| 101 |
+
boost = 0.0
|
| 102 |
+
|
| 103 |
+
name = item.get("name", "").lower()
|
| 104 |
+
text = item.get("text", "").lower()
|
| 105 |
+
region = item.get("region", "").lower()
|
| 106 |
+
state = str(item.get("state", "")).lower()
|
| 107 |
+
|
| 108 |
+
# ============ EXACT/NEAR EXACT MATCH BOOST ============
|
| 109 |
+
# Massive boost if query contains the exact name or very close variant
|
| 110 |
+
if name in query_lower or query_lower in name:
|
| 111 |
+
boost += 10.0
|
| 112 |
+
elif similarity_ratio(query_lower, name) > 0.85:
|
| 113 |
+
boost += 8.0
|
| 114 |
+
|
| 115 |
+
# ============ LOCATION MATCH BOOST ============
|
| 116 |
+
# Check if query mentions the location
|
| 117 |
+
for loc in query_locations:
|
| 118 |
+
if loc in region or loc in state:
|
| 119 |
+
boost += 8.0
|
| 120 |
+
break
|
| 121 |
+
|
| 122 |
+
# ============ INTENT MATCH BOOST ============
|
| 123 |
+
# "Soft Filter": Boost items that match the detected intent
|
| 124 |
+
detected_intent = item.get("intent", "general")
|
| 125 |
+
item_domain = str(item.get("domain", "")).lower()
|
| 126 |
+
|
| 127 |
+
# Map 'nature' intent to 'nature' domain (and 'travel' as secondary)
|
| 128 |
+
if detected_intent == "nature":
|
| 129 |
+
if item_domain == "nature":
|
| 130 |
+
boost += 3.0
|
| 131 |
+
elif item_domain == "travel":
|
| 132 |
+
boost += 1.5 # Secondary boost for travel items in nature query
|
| 133 |
+
|
| 134 |
+
# Standard intent match
|
| 135 |
+
elif detected_intent != "general" and detected_intent in item_domain:
|
| 136 |
+
boost += 3.0
|
| 137 |
+
|
| 138 |
+
# ============ CATEGORY KEYWORD BOOSTS ============
|
| 139 |
+
# Count matching keywords and apply scaled boost
|
| 140 |
+
|
| 141 |
+
# Romantic
|
| 142 |
+
romantic_matches = sum(1 for word in ROMANTIC_BOOST_WORDS if word in query_lower and word in text)
|
| 143 |
+
if romantic_matches > 0:
|
| 144 |
+
boost += min(romantic_matches * 0.8, 3.0)
|
| 145 |
+
|
| 146 |
+
# Spiritual
|
| 147 |
+
spiritual_matches = sum(1 for word in SPIRITUAL_BOOST if word in query_lower and word in text)
|
| 148 |
+
if spiritual_matches > 0:
|
| 149 |
+
boost += min(spiritual_matches * 0.7, 2.5)
|
| 150 |
+
|
| 151 |
+
# Spicy Food
|
| 152 |
+
spicy_matches = sum(1 for word in FOOD_SPICY if word in query_lower and word in text)
|
| 153 |
+
if spicy_matches > 0:
|
| 154 |
+
boost += min(spicy_matches * 0.6, 2.0)
|
| 155 |
+
|
| 156 |
+
# Adventure
|
| 157 |
+
adventure_matches = sum(1 for word in ADVENTURE_BOOST if word in query_lower and word in text)
|
| 158 |
+
if adventure_matches > 0:
|
| 159 |
+
boost += min(adventure_matches * 0.7, 2.5)
|
| 160 |
+
|
| 161 |
+
# Nature
|
| 162 |
+
nature_matches = sum(1 for word in NATURE_BOOST if word in query_lower and word in text)
|
| 163 |
+
if nature_matches > 0:
|
| 164 |
+
boost += min(nature_matches * 0.6, 2.5)
|
| 165 |
+
|
| 166 |
+
# Heritage
|
| 167 |
+
heritage_matches = sum(1 for word in HERITAGE_BOOST if word in query_lower and word in text)
|
| 168 |
+
if heritage_matches > 0:
|
| 169 |
+
boost += min(heritage_matches * 0.6, 2.5)
|
| 170 |
+
|
| 171 |
+
# Shopping
|
| 172 |
+
shopping_matches = sum(1 for word in SHOPPING_BOOST if word in query_lower and word in text)
|
| 173 |
+
if shopping_matches > 0:
|
| 174 |
+
boost += min(shopping_matches * 0.5, 2.0)
|
| 175 |
+
|
| 176 |
+
# Food General
|
| 177 |
+
food_matches = sum(1 for word in FOOD_GENERAL if word in query_lower and word in text)
|
| 178 |
+
if food_matches > 0:
|
| 179 |
+
boost += min(food_matches * 0.5, 2.0)
|
| 180 |
+
|
| 181 |
+
# Calculate final score
|
| 182 |
+
item["final_score"] = base_score + boost
|
| 183 |
+
item["boost_applied"] = boost
|
| 184 |
+
|
| 185 |
+
# Sort by final score (descending)
|
| 186 |
+
return sorted(candidates, key=lambda x: x["final_score"], reverse=True)
|
requirements.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fastapi
|
| 2 |
+
uvicorn
|
| 3 |
+
pandas
|
| 4 |
+
numpy
|
| 5 |
+
faiss-cpu
|
| 6 |
+
sentence-transformers
|
| 7 |
+
torch
|
| 8 |
+
transformers
|
| 9 |
+
huggingface-hub
|
| 10 |
+
scikit-learn
|
| 11 |
+
openai
|
| 12 |
+
tqdm
|
| 13 |
+
requests
|
| 14 |
+
aiofiles
|
salahkar_enhanced.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|