Eco-Friendly Recipe App

Inspiration

With the growing need for sustainable living, we wanted to create a solution that helps people cook in an eco-friendly way—minimizing food waste and reducing their carbon footprint.

What It Does

Our AI-powered app recommends eco-friendly recipes based on user prompts, utilizing a curated database of sustainable recipes. It helps users make conscious food choices with minimal waste.

How We Built It

• Data: Extracted through data mining from WWF and FloridaMilk.
  
• Frontend: Built with Vite and React TypeScript for a fast and interactive experience.
  
• Backend: Powered by Django REST Framework (Python) for scalability and efficiency.
  
• AI: Uses OpenAI GPT Mini with RAG (Retrieval-Augmented Generation), supported by Langchain and FAISS for intelligent recipe recommendations.
  

Challenges We Ran Into

One of our biggest challenges was designing a more efficient AI pipeline that delivers accurate, sustainable recipe recommendations quickly.

Accomplishments That We're Proud Of

• Successfully optimizing the AI pipeline for better performance.
  
• Implementing a monorepo structure for better code management and collaboration.
  

What We Learned

Through this project, we gained experience in monorepos, AI pipeline optimization, and improving response efficiency for better user interactions.

What's Next for the Eco-Friendly Recipe App

✅ Further enhancing AI efficiency for better recommendations.
✅ Adding authentication to personalize user experiences and preferences.

Built With

• api
• django
• openai
• python
• rag
• react
• recommendation
• rest
• typescript
• vite