Foodie

The idea behind this project stemmed from the desire to enhance food tracking with AI-powered nutrition analysis. Rather than simply logging meals, we built a system that analyzes food images using AWS services and OpenAI APIs, extracting key nutritional information and storing it in each user's profile. To ensure accurate and context-aware nutrition insights, we leveraged Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) for effective database information retrieval and dynamic nutrition analysis generation. Additionally, we introduced a leaderboard system, allowing users to compare their food analysis activity with friends, fostering accountability and engagement. By combining AI-driven nutrition analysis, intelligent data retrieval, and personalized food tracking, our platform helps users make more informed dietary choices and develop healthier eating habits.

Built With

• amazon-web-services
• llm
• mongodb
• oauth
• python
• rag
• streamlit