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- title: EnvironmentalAIToolkit
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- emoji: 🐨
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- colorFrom: red
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- colorTo: green
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- sdk: gradio
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- sdk_version: 5.47.2
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- app_file: app.py
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- pinned: false
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- short_description: NLP, Vision, and Speech to perform environmental task
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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+ # 🌍 Environmental AI Toolkit
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+
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+ 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.
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+
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+ ---
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+
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+ ## ✨ Features
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+
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+ ### πŸ“ Natural Language Processing (NLP)
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+ - πŸ—‚οΈ **Sentence Classification** β†’ Categorize environmental text (e.g., climate change, pollution, conservation)
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+ - 🏷️ **Named Entity Recognition (NER)** β†’ Extract rivers, species, pollutants, and locations from text
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+ - ✍️ **Fill-in-the-Blank** β†’ Complete environmental sentences with context-aware suggestions
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+ - ❓ **Question Answering** β†’ Ask environment-related questions and get accurate answers
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+
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+ ### πŸ–ΌοΈ Vision
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+ - πŸ–ΌοΈ **Image Classification** β†’ Identify categories in environmental images
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+ - πŸ” **Object Detection** β†’ Detect people, trees, cars, animals in environmental scenes
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+ - 🎭 **Segmentation** β†’ Segment images into sky, water, land, vegetation, and more
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+ - 🎨 **Text-to-Image Generation** β†’ Create environmental scene images from text prompts (e.g., β€œrainy forest with elephants”)
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+
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+ ### 🎀 Speech
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+ - πŸŽ™οΈ **Speech Recognition (ASR)** β†’ Transcribe environmental talks or lectures
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+ - πŸ”Š **Text-to-Speech (TTS)** β†’ Convert environmental text into natural audio narration
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+
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  ---
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+
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+ ## πŸ› οΈ Tech Stack
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+ - πŸ€– [Transformers](https://huggingface.co/docs/transformers/index) β†’ NLP & Vision models
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+ - 🎨 [Diffusers](https://huggingface.co/docs/diffusers/index) β†’ Image generation
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+ - πŸŽ›οΈ [Gradio](https://www.gradio.app/) β†’ Interactive UI
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+ - ⚑ [PyTorch](https://pytorch.org/) β†’ Deep learning framework
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+ - 🌐 [Hugging Face Spaces](https://huggingface.co/spaces) β†’ Deployment
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+
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+ ---
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+
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+ ## πŸš€ How to Use
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+ 1. Select a **task tab** (NLP, Vision, or Speech).
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+ 2. Enter text, upload an image, or record audio depending on the task.
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+ 3. Click **Run** β†’ get instant AI-powered results!
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+
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+ ---
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+
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+ ## πŸ“Έ Example Use Cases
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+ - πŸŒ† Generate images of **sustainable cities with solar panels**
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+ - 🐘 Extract **species names** from environmental reports
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+ - 🌱 Classify tweets about **climate change & conservation**
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+ - 🎧 Convert environmental text into **podcast-style narration**
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+ - 🌳 Ask: *β€œWhat are the effects of deforestation?”* and get contextual answers
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+
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+ ---
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+
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+ ## πŸ’‘ Why This Project?
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+ 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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+
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  ---
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+ ## πŸ“‚ Repository Structure