AI Food Calorie-Detector

Overview

The AI Food Calorie Detector is an innovative and practical project designed to help users estimate the calorie content of their meals using artificial intelligence. This project combines front-end and back-end technologies to create a seamless user experience, making it a full-stack web application.

The AI Food Calorie Detector is an innovative and practical project designed to help users estimate the calorie content of their meals using artificial intelligence. This project combines front-end and back-end technologies to create a seamless user experience, making it a full-stack web application.

The front-end is built using HTML, CSS, and JavaScript, ensuring an intuitive and visually appealing interface, while JSON is used for efficient data exchange between the front-end and back-end. The core functionality of the AI Food Calorie Detector revolves around its ability to analyze images of food items and provide accurate calorie estimates. Users can upload images of their meals, and the AI model processes these images to identify the food items and calculate their calorie content.

On the back-end, Python and Flask handle the server-side logic, SQL manages the database for storing user data and food-related information, and Node.js is utilized for additional backend functionalities or API integrations. This makes the project a computer vision-based application, leveraging AI and machine learning algorithms to deliver precise results. The integration of AI into the system highlights its cutting-edge and innovative nature, catering to health-conscious individuals, fitness enthusiasts, and anyone looking to monitor their dietary intake.