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@article{186139,
        author = {Miss. Pratiksha Dhananjay Sarangdhar and Miss. Vrushali Bhausaheb Garud and Miss. Asmita Sandip Gade and Miss. Kirti Shriram Bhavsar and Prof. Habib A. A.},
        title = {AI-Powered Personal Diet and Workout Recommender System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {482-485},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186139},
        abstract = {We propose an intelligent mobile application that provides personalized diet and workout plans by combining user-specific data with AI-driven insights. The system will collect individual parameters (age, weight, goals, preferences, etc.) and use a fast inference engine (AI mixture model) along with an external nutrition API to generate tailored meal suggestions and exercise routines. Early evaluations from related work show that AI-powered recommenders can achieve high effectiveness (e.g. 92% recommendation accuracy) and improve user engagement with personalized, explainable guidance. Our app’s architecture leverages Flutter for cross-platform UI, Ai for on-device or cloud AI ensuring a scalable and responsive experience. The system aims to overcome the limitations of conventional health apps by providing adaptable, data-driven advice.},
        keywords = {AI, personalized recommendation, nutrition, fitness, Flutter, API.},
        month = {November},
        }