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Eomma: `Because We All Deserve a Little Care`

🧠 What it does

It is an AI-powered food scanner app that helps users make informed and healthier food choices — like a digital mom guiding you from afar. By scanning a food item’s barcode (GTIN), the app fetches real-time nutritional information, identifies harmful ingredients, and suggests healthier alternatives. It's designed to be intuitive, fast, and caring — a true wellness companion for people living away from home.

🛠️How we built it

The backend was built using Flask, which handles barcode input, connects to a third-party food database API, and processes ingredient and nutritional data.
We developed a lightweight machine learning model trained on curated food ingredient data to detect harmful substances and provide smart recommendations.
API responses (mostly in nested JSON) were converted to structured CSV for model training and data validation.
My partner focused on building a warm, clean, and user-friendly frontend UI, mimicking the feel of care and simplicity.
Integration was made modular to support easy scaling and maintenance.

🚀What's next for Eomma

Personalized health insights based on user profiles like diabetic, vegan, or weight-conscious users.
Expanding to restaurant meals and groceries, not just packaged food.
Partnering with nutritionists or integrating with fitness apps for complete health tracking.
Personalized AI assistant talk
Personalizes diet-chart planner
Blood-reports scans and better insides