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@article{173398,
        author = {Aditya D. Mojad and Ruchita N. Waditke and Priyanka S. Shewale and Saniya V. Dhumane},
        title = {Final paper on Reducing Food Waste in RestaurantsUsing Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {343-346},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173398},
        abstract = {By using machine learning to manage materials based on their expiration dates and recommend new recipes, this initiative seeks to reduce food waste in restaurants. In order to anticipate any waste, the system analyse data on inventory levels and expiration dates in real time. It then makes innovative new dish recommendations using components that are almost out of date based on this information. This method not only minimizes food waste and maximizes inventory, but it also lowers expenses and improves menu diversity. The idea encourages economic efficiency and sustainability in restaurant operations by converting excess ingredients into culinary potential.},
        keywords = {Food waste, Wasteful behavior, Restaurant waste, Consumer waste, Restaurant management Out-of-home waste.},
        month = {March},
        }