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Fatchum 2.0

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.

Features

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.

Tech Stack

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

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Food Recommendation System

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