AI-Powered Personalized Food Suggestions Using Text & Image Data
Traditional food recommendation systems only rely on text-based input, missing critical visual preferences like food presentation and plating. This project combines text & image data using LLMs & FAISS to create highly personalized recommendations for users.
- Programming: Python, Streamlit
- AI Models: Claude-Sonnet, AWS Bedrock
- Vector Search: FAISS
- Deployment: AWS Lambda
Combines user text preferences + food image data
Uses FAISS vector search for personalized results
AI-powered nutritional & dietary filtering
Deployable as a food recommendation chatbot
git clone https://github.com/shekkari1999/food-recommendation-ai.git
cd food-recommendation-ai
pip install -r requirements.txt