---
title: Environmental AI Toolkit
sdk: gradio
emoji: 🌍
colorFrom: green
colorTo: blue
app_file: app.py
pinned: false
---
# 🌍 Environmental AI Toolkit  

🚀 A Hugging Face + Gradio app that combines **10 powerful AI models** across **NLP, Vision, and Speech** — designed to analyze, generate, and explore **environmental content** in one interactive toolkit.  

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## ✨ Features  

### 📝 Natural Language Processing (NLP)  
- 🗂️ **Sentence Classification** → Categorize environmental text (e.g., climate change, pollution, conservation)  
- 🏷️ **Named Entity Recognition (NER)** → Extract rivers, species, pollutants, and locations from text  
- ✍️ **Fill-in-the-Blank** → Complete environmental sentences with context-aware suggestions  
- ❓ **Question Answering** → Ask environment-related questions and get accurate answers  

### 🖼️ Vision  
- 🖼️ **Image Classification** → Identify categories in environmental images  
- 🔍 **Object Detection** → Detect people, trees, cars, animals in environmental scenes  
- 🎭 **Segmentation** → Segment images into sky, water, land, vegetation, and more  
- 🎨 **Text-to-Image Generation** → Create environmental scene images from text prompts (e.g., “rainy forest with elephants”)  

### 🎤 Speech  
- 🎙️ **Speech Recognition (ASR)** → Transcribe environmental talks or lectures  
- 🔊 **Text-to-Speech (TTS)** → Convert environmental text into natural audio narration  

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## 🛠️ Tech Stack  
- 🤖 [Transformers](https://huggingface.co/docs/transformers/index) → NLP & Vision models  
- 🎨 [Diffusers](https://huggingface.co/docs/diffusers/index) → Image generation  
- 🎛️ [Gradio](https://www.gradio.app/) → Interactive UI  
- ⚡ [PyTorch](https://pytorch.org/) → Deep learning framework  
- 🌐 [Hugging Face Spaces](https://huggingface.co/spaces) → Deployment  

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## 🚀 How to Use  
1. Select a **task tab** (NLP, Vision, or Speech).  
2. Enter text, upload an image, or record audio depending on the task.  
3. Click **Run** → get instant AI-powered results!  

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## 📸 Example Use Cases  
- 🌆 Generate images of **sustainable cities with solar panels**  
- 🐘 Extract **species names** from environmental reports  
- 🌱 Classify tweets about **climate change & conservation**  
- 🎧 Convert environmental text into **podcast-style narration**  
- 🌳 Ask: *“What are the effects of deforestation?”* and get contextual answers  

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## 💡 Why This Project?  
Environmental awareness requires **multi-modal AI tools**. This toolkit brings together **language, vision, and speech models** to support **education, research, and creative sustainability projects**.  

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## 📂 Repository Structure