Foodsnap-ai final submission#9
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Abner-source wants to merge 2 commits intoWeCode-Community-Dev:mainfrom
Open
Foodsnap-ai final submission#9Abner-source wants to merge 2 commits intoWeCode-Community-Dev:mainfrom
Abner-source wants to merge 2 commits intoWeCode-Community-Dev:mainfrom
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🔍 Problem Solved
FoodSnap AI enables users to upload an image of food and instantly get an estimated calorie count and macronutrient breakdown (protein, carbohydrates, fats). It uses YOLOv8 for object detection and a local SQLAlchemy-powered nutrition database for food data lookup.
🚀 Features Implemented
🍽️ Detects food items using YOLOv8 trained on Indian food dataset
🧠 Nutrition database using SQLAlchemy + SQLite
📊 Caloric and macronutrient estimation from predicted labels
🧪 CLI-based image inference and lookup system
🗂️ Proper folder structure with training assets and inference script
🛠 Tech Stack
YOLOv8 (Ultralytics)
Python 3.9
PyTorch
SQLAlchemy
OpenCV
Google Colab (training)
SQLite (local DB)
dotenv for configuration