🔗 Live App: https://ecowise-ai-2026.streamlit.app/
📦 Source Code: https://github.com/anuragpandey1rkt-cmyk/EcoWise-AI
🌱 EcoWise AI – Hyper-Local Sustainability Assistant
EcoWise AI is a full-stack, AI-powered sustainability platform built with Streamlit that helps users make smarter, eco-friendly decisions through AI vision, voice, maps, gamification, and analytics.
The app combines Generative AI, Computer Vision, Voice AI, Maps, and Gamification to promote responsible consumption and environmental awareness.
🚀 Key Features 🏠 Home Dashboard
XP, streak, rank tracking
Quick navigation to all eco-tools
Gamified user experience
📸 AI Waste Visual Sorter
Take a photo or upload an image
AI identifies the item and explains how to recycle it
Multi-layer AI fallback system:
Google Gemini (Primary)
Hugging Face (Backup)
Manual input (Final fallback)
🎙️ Voice Mode
Ask sustainability questions using your voice
Uses Whisper (Groq) for speech-to-text
AI responds instantly
♻️ Recycling Assistant (RAG-like)
Upload official recycling PDFs
Ask questions based on uploaded rules
AI combines document context + user query
🗺️ Interactive Eco-Map
Click anywhere on the map to pin eco-locations
Add:
Recycling bins
E-waste centers
Donation points
Compost locations
Uses Folium + Supabase
🌊 Plastic Footprint Calculator
Calculates annual plastic waste
Categorizes impact:
Low
Medium
High
Generates AI-based reduction strategies
🎨 Upcycling Station
Enter any waste item
Get creative DIY reuse ideas
Encourages circular economy thinking
🥗 Low-Carbon Menu Planner
AI-generated eco-friendly meals
Supports multiple cuisines
Explains environmental benefits
🌳 My Virtual Forest (Gamification)
Earn 1 tree for every 100 XP
Visual forest grows with your eco-actions
Shows recent activity logs
👣 Carbon Footprint Saver
Track CO₂ saved by choosing eco-friendly transport
Calculates carbon emissions prevented
XP rewards based on impact
❌ Mistake Explainer
Learn the environmental impact of wrong disposal
Encourages behavior correction instead of punishment
🏆 Leaderboard
Global ranking based on XP
Encourages healthy competition
🧠 AI Architecture (Triple-Layer Design) Layer Technology Vision AI Google Gemini / Hugging Face LLM Reasoning Groq (LLaMA 3.3 70B) Voice AI Whisper (Groq) Fallbacks Manual + Rule-based 🛠️ Tech Stack Frontend
Streamlit
Custom CSS for PWA-like UI
Backend & Database
Supabase (Auth + PostgreSQL)
Secure session handling
AI & ML
Groq API (LLMs + Whisper)
Google Gemini Vision
Hugging Face Inference API
Maps & Visualization
Folium
Plotly
📦 Installation & Setup 1️⃣ Clone the Repository git clone https://github.com/your-username/ecowise-ai.git cd ecowise-ai
2️⃣ Install Dependencies pip install -r requirements.txt
3️⃣ Add Secrets
Create a file:
.streamlit/secrets.toml
Add:
SUPABASE_URL="your_supabase_url" SUPABASE_ANON_KEY="your_supabase_anon_key" GROQ_API_KEY="your_groq_api_key" GEMINI_API_KEY="your_gemini_api_key" HF_TOKEN="your_huggingface_token"
4️⃣ Run the App streamlit run app.py
🗄️ Database Tables (Supabase)
Required tables:
user_stats
study_logs
map_points
Example fields:
user_id, xp, streak, last_study_date latitude, longitude, name, type
🎯 Use Cases
Sustainability education
Smart waste management
College / internship projects
Hackathons & SDG initiatives
AI portfolio showcase
🌍 SDG Alignment
SDG 12 – Responsible Consumption & Production
SDG 11 – Sustainable Cities & Communities
SDG 13 – Climate Action
👨💻 Author
Anurag Pandey AI & Full-Stack Developer 🌱 Passionate about sustainability, AI, and real-world impact
⭐ Future Enhancements
Mobile PWA deployment
Community challenges
NGO & municipality integrations
Real-time IoT waste data
Rewards & badges system