MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114653 A) filed by Thapar Institute Of Engineering And Technology, Patiala, Punjab, on Nov. 20, 2025, for 'a system for ai-driven food service management, demand forecasting, and waste minimization and a method thereof.'
Inventor(s) include Raunit Sharma; Sarthak Suri; Rohan Pratap Singh; Parteek Singh; Dr. Neeru Jindal; Dr. Hardeep Singh; and Dr. Kanwarpreet Kaur.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "This invention pertains to a system for managing and optimizing food service operations in institutional dining settings. The system integrates an Attendance Prediction Module, Inventory Optimization Module, Student Feedback Analysis Module, and Leftover Food Estimation Module, all coordinated by a Central Data Processing Unit. Leveraging historical attendance data, academic schedules, weather inputs, and special events, the Attendance Prediction Module employs machine learning algorithms for daily forecasts. Concurrently, the Inventory Optimization Module utilizes RFID and environmental sensors to compute spoilage risk and adjust conditions, while the Student Feedback Analysis Module processes unstructured feedback using advanced natural language processing and quantum machine learning. The Leftover Food Estimation Module applies image processing and a deep convolutional neural network for waste quantification, providing comprehensive, real-time insights to enhance demand forecasting and minimize food waste."
Disclaimer: Curated by HT Syndication.
