A Machine Learning-Based Application for Assessing Packaged Food Healthiness and Suggesting Healthier Alternatives

This project focuses on developing an AI-powered platform for assessing the healthiness of packaged food products and suggesting healthier alternatives. The system scans product barcodes, extracts ingredient details, and evaluates health impact using machine learning models. The application provides real-time feedback on food quality, detecting harmful additives, excess sugars, and unhealthy fats. The AI engine then recommends better alternatives based on the user’s dietary preferences. This solution aims to enhance consumer awareness and promote healthier eating habits through AI-driven insights.