ylongqi/yumme

Implements personalized meal recommendations using pre-trained nutrient distribution models (FoodDist) to match user dietary goals and preferences. Built as a Flask-based service with separate backend and frontend components, leveraging pre-computed recipe metadata and machine learning models for efficient inference. Integrates a food similarity model to surface nutritionally-aligned alternatives alongside traditional collaborative filtering approaches.

No commits in the last 6 months.