Authors: Mrs. P. Valarmathi, S.Abilesh, K.Karthick, T.Manoj
Abstract: In the current digital health ecosystem, users often rely on multiple fragmented applications for food tracking, nutrition analysis, and fitness planning, leading to poor user experience, limited personalization, and reduced adherence. This project proposes an AI-Powered Smart Diet and Workout Assistant, a unified web-based platform that integrates diet planning, calorie tracking, recipe generation, and workout recommendations into a single, personalized system. Users securely register, set health goals, and receive tailored plans based on their profiles, with AI-driven food recognition from images or text inputs, nutritional estimation, and deep learning models for diverse cuisines. Built with HTML/CSS/JS frontend, Node.js backend, MongoDB, and TensorFlow, it features progress dashboards, quizzes, and motivational tools. The system enhances engagement, consistency, and long-term health outcomes by minimizing app fragmentation and delivering intelligent, interactive fitness support.
DOI: https://doi.org/10.5281/zenodo.19216771
