WEB BASED APPLICATION FOR FOOD CALORIE DETECTION

The project presents the development of a web-based application designed to detect food items from uploaded imagesand estimate their caloric value. Taking advantage of machine learning and deep learning techniques, the systemidentifies food items using a trained MobilentV2 model and maps the results of a structured nutritional database todisplay calorie content, benefits and general uses. The solution integrates the flask for backend processing and ReactJsto the user -friendly frontend interface. The application also includes food reminder, dark mode theming andnotification support for user authentication. The purpose of this system is to promote dietary awareness throughintelligent automation.