README.md

metadata

title: EcoChef
emoji: 🥗
tag: mcp-server-track
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.33.1
app_file: app.py
pinned: true
short_description: Eco-Friendly AI Meal Planner with Food Carbon Insights

🥗 EcoChef

Eco-Friendly AI Meal Planner with Food Carbon Insights

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🚀 Purpose

EcoChef attempts to reduce food waste and carbon emissions by analyzing your fridge ingredients, predicting spoilage risk, estimating environmental impact, and suggesting optimized meal plans using AI.

Watch EcoChef in action

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✨ Key Features of EcoChef

• 🧊 Spoilage risk detection for common food items
• 🌍 Carbon footprint estimation (CO₂e per ingredient)
• 🍽️ AI-generated meal plans using LLMs
• 🔄 Smart recipe suggestions to minimize food waste focusing more on ingredients with high spoilage risk
• 🧾 Interactive Gradio UI + MCP integration

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🧠 Models Dataset and APIs Used

• LLM: meta-llama/Llama-3.3-70B-Instruct model via Nebius API
• Carbon Footprint Data: Taken from Su-EATABLE LIFE dataset which provides standardized carbon and water footprint values for thousands of food items based on harmonized LCA methodologies
• Spoilage Model: Custom rules-based + JSON dataset of food ingredient curated specially for this project.
• Nebius API: Used to inference llama model for suggesting meal.

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🛠️ Core Functionality Overview

1. Input your fridge ingredients seperateed by a comma
2. EcoChef estimates spoilage and carbon impact of each ingredient
3. Generates optimized recipes for high spoilage risk ingredients and possible alternatives to reduce carbon emisssion of your fridge/ pantry
4. Visualizes results in a user-friendly interface using Gradio. Also, is a MCP integration available.

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🧪 Install dependencies after clonning with:

pip install -r requirements.txt

Made with ❤️ using Gradio, Llama, Nebius APIs for Gradio Agents & MCP Hackathon 2025 on Hugging Face🤗

Created by tejasashinde