Fatchum 2.0 is a recipe recommendation app built to help users discover delicious recipes using the ingredients they already have on hand. It's a simple, smart, and efficient way to reduce food waste and find your next favorite meal.
Mobile App (Kotlin)
- Search recipes by typing ingredients you have in your fridge.
- Get suggestions by food tags
- Firebase integration that supports Google Accounts
Backend (FastAPI + ML)
- Count Vectorizer + Cosine Similarity -> tag-based recommendations.
- TF-IDF + Cosine Similarity -> ingredient-based search engine.
Mobile (Frontend)
- Kotlin + Andorid Studio
- Firebase (Auth, Firestore, Cloud Storage)
- Retrofit for API calls
**Backend
- FastAPI
- Scikit-learn (TF-IDF, CountVectorizer, Cosine Similarity)
- Uvicorn / Gunicorn for deployment
- Render for server hosting