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@article{192236,
        author = {Kasbe Krushna Dnyanoba and Mane Om Dipak and Suryawanshi Vilas Balwaan and Dharmaraj V Biradar and kulbhushan A Choure},
        title = {AI-Diet-Planne App},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3163-3168},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192236},
        abstract = {Maintaining a healthy diet is essential for overall well-being, and tracking daily calorie intake plays a crucial role in achieving this goal. However, manually recording food items and estimating nutritional values can be time-consuming and inaccurate. The AI Diet Planner App is designed to automate the process of calorie and nutrition tracking, making it more efficient and user-friendly.
The system uses Artificial Intelligence and Machine Learning techniques to analyze food images captured through a smartphone camera. By identifying food items from the images, the application estimates nutritional values such as calories, proteins, fats, and carbohydrates. The mobile application is developed using React Native, while the backend and data storage are managed using cloud-based technologies. This automated approach reduces manual effort and helps users maintain a balanced and healthy diet effectively.},
        keywords = {AI Diet Planner App, Mobile Application Development, React Native, Artificial Intelligence, Calorie Calculation, Nutrition Tracking, OpenRouter AI Model, Prompt-Based AI Processing, Convex Database, Cloud Backend, Real-Time Data Storage, Health and Fitness Application, Dietary Recommendation System, User Profile Management, Personalized Nutrition, Mobile User Interface Design, Cross-Platform Development, AI-Powered Health Monitoring},
        month = {February},
        }