Food Recommendation System API

This repository serves as the backend component for a Food Recommendation System project. Developed using Flask, the API facilitates communication between a Flutter-based mobile frontend, a MongoDB database, and an external AI recommendation model. It securely handles data exchange, user authentication (via bcrypt), and requests routing within a local network testing environment.

• Serves as middleware between a Flutter app, an AI model, and MongoDB layer
• Handles API requests and basic data routing
• Configurable setup via YAML files