MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076895 A) filed by Dr A Rosline Mary; Sampenga Veerraju; Akash J; Dr Ramesh Muthangi; Dr. K. K. Vinitha; Dr. Ramkumar Vahalingam; Dr. A. R. Arathy; D Padmapriya; Dr Kalpesh Rasiklal Rakholia; Sandip Chandrakant Upadhyay; Urlam Pranita; and Durdana Ovais on June 22, 2026, for Intelligent Machine Learning System For Early Detection Of Smartphone Addiction And Academic Risk Assessment In Higher Education.
Inventors include Dr A Rosline Mary; Sampenga Veerraju; Akash J; Dr Ramesh Muthangi; Dr. K. K. Vinitha; Dr. Ramkumar Vahalingam; Dr. A. R. Arathy; D Padmapriya; Dr Kalpesh Rasiklal Rakholia; Sandip Chandrakant Upadhyay; Urlam Pranita; and Durdana Ovais.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses the development of a machine learning system to detect the early warning signs of smartphone addiction along with the academic risk assessment of higher education students. Using behavioral data generated through passive methods such as screen time and frequency of notifications and application use, the developed system uses intelligent classification algorithms to detect students who are likely to become at risk in terms of their academic progress before their academic performance declines significantly. Experiments reveal that an ensemble method performs very well in comparison to the baseline models, including self-reports and baseline models. FIG.1
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