A newer version of the Gradio SDK is available:
6.1.0
metadata
license: mit
title: Future Earth - Agentic Eco Advisor
sdk: gradio
emoji: 🚀
colorFrom: green
colorTo: green
pinned: false
short_description: Instant environmental assessment before purchasing products
tags:
- mcp-in-action-track-customer
- mcp-in-action-track-creative
sdk_version: 6.0.1
Team_member: Kathir1311
🌍 Future Earth - Agentic Eco Advisor
AI-Powered Environmental Impact Assessment Agent | Built for Future Earth
🎥 Demo Video
🔗 Social Media Post Links
An autonomous AI agent that analyzes products for environmental impact using computer vision, lifecycle assessment, and RAG (Retrieval Augmented Generation) LlamaIndex to provide instant sustainability recommendations.
Problem Statement
We're Destroying Our Planet, One Purchase at a Time
The Hard Truth:
- Global carbon emissions increased by 60% in the last 30 years
- E-waste is growing 5x faster than it's being recycled
- Only 9% of plastic ever produced has been recycled
- Fashion industry alone accounts for 10% of global emissions
- Each year, our consumer choices damage Earth by ~2.5% of total environmental capacity
If you care about this Earth and want to save it for future generations, but don't know how...
The Problem is:
Most people want to make eco-friendly choices, but:
- They don't have instant access to environmental impact data while shopping
- Marketing claims are filled with greenwashing and false promises
- Carbon footprint calculations are too complex for average consumers
- There's no easy way to identify sustainable alternatives on-the-go
Imagine this scenario:
You're at a store, holding a product. You want to know:
- "Is this product destroying the planet?"
- "How much carbon footprint does it have?"
- "Is there a better alternative?"
But you can't answer these questions in real-time. So you buy it anyway.
The Solution: Future Earth
What if you could point your phone camera at ANY product and instantly know its environmental impact?
Future Earth is an AI-powered agent that:
- Sees your product through computer vision
- Thinks through autonomous reasoning and lifecycle analysis
- Recommends better alternatives with quantified impact scores
How to use Future Earth
- Step 1 Launch our Huggingface webapp URL
- Step 2 Scan or Upload any product image (examle: Leather Shoes, Plastic watter bottle, bags, Playstation,....etc)
- Step 3 Click Analyze Environmental Impact button
- You will be getting
- Environmental impact score
- Carbon foot print
- Environmental Issues
- Material Analysis
- Lifecycle Insights
- Better Alternatives
If we all start making informed choices today, we can:
- Reduce global carbon footprint by 20-30% through conscious consumption
- Cut plastic waste in half by choosing reusable alternatives
- Extend product lifecycles by 3-5x through better purchasing decisions
- Save our Earth for future generations one product at a time
The Power of Collective Action
🛠️ Technology Stack
Core AI & Language Models
- Claude Sonnet 4 (2025-05-14) - Anthropic's latest multimodal AI model
- Vision analysis for product identification
- Environmental reasoning and assessment generation
- Multi-step autonomous agent planning
Framework & Infrastructure
- Gradio 6 - Modern web UI framework with real-time streaming
- Mobile-responsive design
- Progress tracking and status updates
- Camera integration for product scanning
Agent Architecture
- Model Context Protocol (MCP) - Distributed AI computation
- MCPVisionServer - Image analysis and greenwashing detection
- MCPReasoningServer - Lifecycle impact calculations
- MCPParsingServer - Environmental report parsing
RAG (Retrieval Augmented Generation)
- LlamaIndex - Advanced semantic search framework
- Vector-based knowledge retrieval
- HuggingFace embeddings (BAAI/bge-small-en-v1.5)
- 15-category comprehensive environmental knowledge base