CalorieCode
Build a smart food diary application that allows users to log their meals, automatically detect food items using image recognition, and analyze the nutritional content. The system will provide users with calorie and nutrient breakdowns, suggest dietary improvements, and visualize nutritional trends over time. The application will include user registration, meal logging, image recognition, and data visualization features.
The Smart Food Diary is an AI-powered meal-tracking app that simplifies food logging using image recognition and provides detailed nutritional analysis. Users can register, log meals via photos or manual entry, and receive calorie and nutrient breakdowns. The system offers personalized dietary suggestions and interactive visualizations to track progress over time.
Built with React.js, Node.js (or Django/FastAPI), and a database like PostgreSQL/MongoDB, it integrates computer vision models (TensorFlow/OpenCV). This app helps users make informed dietary choices, monitor long-term trends, and improve their overall nutrition effortlessly.