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

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

---

## ✨ Features  

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

### πŸ–ΌοΈ Vision  
- πŸ–ΌοΈ **Image Classification** β†’ Identify categories in environmental images  
- πŸ” **Object Detection** β†’ Detect people, trees, cars, animals in environmental scenes  
- 🎭 **Segmentation** β†’ Segment images into sky, water, land, vegetation, and more  
- 🎨 **Text-to-Image Generation** β†’ Create environmental scene images from text prompts (e.g., β€œrainy forest with elephants”)  

### 🎀 Speech  
- πŸŽ™οΈ **Speech Recognition (ASR)** β†’ Transcribe environmental talks or lectures  
- πŸ”Š **Text-to-Speech (TTS)** β†’ Convert environmental text into natural audio narration  

---

## πŸ› οΈ Tech Stack  
- πŸ€– [Transformers](https://huggingface.co/docs/transformers/index) β†’ NLP & Vision models  
- 🎨 [Diffusers](https://huggingface.co/docs/diffusers/index) β†’ Image generation  
- πŸŽ›οΈ [Gradio](https://www.gradio.app/) β†’ Interactive UI  
- ⚑ [PyTorch](https://pytorch.org/) β†’ Deep learning framework  
- 🌐 [Hugging Face Spaces](https://huggingface.co/spaces) β†’ Deployment  

---

## πŸš€ 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** β†’ get instant AI-powered results!  

---

## πŸ“Έ Example Use Cases  
- πŸŒ† 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: *β€œWhat are the effects of deforestation?”* and get contextual answers  

---

## πŸ’‘ 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**.  

---

## πŸ“‚ Repository Structure