Intellectual Property India Publishes Patent Application for 'Machine Learning System For Predicting Technology Acceptance In Fintech Robo-Advisor Applications' Filed by Lovely Professional University

MUMBAI, India, Jan. 8 -- Intellectual Property India has published a patent application (202511104646 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 30, 2025, for 'machine learning system for predicting technology acceptance in fintech robo-advisor applications.'

Inventor(s) include Lavish Kansal; Gaurav Gupta; Dr. Sorabh Lakhanpal; and Soosan Chhabra.

The application for the patent was published on Dec. 12, under issue no. 50/2025.

According to the abstract released by the Intellectual Property India: "A machine learning system for predicting technology acceptance in FinTech robo-advisor applications, comprising a data collection module 101 configured to gather user-level behavioral and transactional data, a proxy construction module 102 generates behavioral proxies based on the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT), a model training module 103 trains classification models such as Logistic Regression, Support Vector Machine, Random Forest, and XGBoost using the proxies, a model evaluation module 104 assesses model performance with metrics like precision and recall, addressing class imbalance and behavioral overlaps, and a prediction module 105classifies users into high and low acceptance categories to support adaptive engagement strategies."

Disclaimer: Curated by HT Syndication.