MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611099287 A) filed by Noida International University on August 17, 2026, for Digital Entrepreneur Monitoring And Recovery Mapping System Using Machine Learning And Natural Language Processing.
Inventors include Devi Prasad; Shraddhesh Kumar Tiwari; Ajay Tiwari; and Ajit Lenka.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A computer-implemented system monitors and maps an entrepreneur before and after showing interest in a startup. Anonymous support information and self- assessment data are collected and analysed using machine-learning and natural-language-processing algorithms to detect causes associated with startup failure. Individual recovery indicators are generated using economic, emotional, cultural, and social parameters. A comparative dashboard provides regional and socio-cultural recovery analysis, and a recommendation engine generates personalized counselling and economic interventions based on the recovery information. The platform provides integrated entrepreneur monitoring, failure-cause analysis, recovery mapping, comparative analysis, and intervention recommendation. The system is applicable to entrepreneurs and organizations supporting entrepreneurship, including SHGs, NGOs, startups, manufacturing units, e-commerce enterprises, and Micro, Small and Medium Enterprises.
Disclaimer: Curated by HT Syndication.
