MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611079790 A) filed by Chandigarh University on June 29, 2026, for Hybrid Neural And Symbolic Reasoning System For Intelligent Constraint Enforcement.
Inventors include Vinod Kumar; Ramandeep Singh; and Gurwinder Singh.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an intelligent NLP-based chatbot system for personalized and sustainable nutrition management. The system integrates Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), and a nutrition knowledge base to provide customized dietary recommendations through interactive natural language conversations. The chatbot collects and analyses user-specific information, including age, body mass index (BMI), dietary preferences, allergies, medical conditions, lifestyle factors, and nutritional goals, to generate personalized meal plans and dietary guidance. The system further incorporates sustainability assessment metrics to recommend environmentally responsible food choices and promote sustainable eating habits. A dynamic feedback learning mechanism continuously refines recommendations based on user interactions, preferences, and progress, thereby improving accuracy and relevance over time. Through context-aware communication, real-time dietary support, adaptive meal planning, and cloud-based accessibility, the invention offers an intelligent, user- friendly, and eco-conscious solution that overcomes the limitations of conventional static diet management applications.
Disclaimer: Curated by HT Syndication.
