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@article{193292,
        author = {JADHAV BABAN UMRAV and SAWANT SAI PRAVIN and BATWALKAR KARAN KESHAV},
        title = {Cal AI: Photo-based Nutrition Tracking Using Depth Sensor and Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {4630-4638},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193292},
        abstract = {Cal AI is a cutting-edge nutrition tracking system that leverages depth sensors and artificial intelligence (AI) to automatically analyze the nutritional content of meals from photos. Unlike traditional calorie tracking methods, which are often tedious, error-prone, and time-consuming, Cal AI streamlines the process by combining AI-driven food recognition with 3D volume estimation using depth data.},
        keywords = {Cal AI represents a next-generation solution for automated nutrition monitoring, combining accuracy, efficiency, and user convenience. Its implementation could transform personal and clinical dietary management, reducing human error and promoting healthier eating habits},
        month = {February},
        }