MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631014903 A) filed by Jis College Of Engineering, Kalyani, West Bengal, on Feb. 11, for 'an ai-driven diagnostic framework for scalable mental health monitoring and early intervention.'
Inventor(s) include Sanjukta Chatterjee; Ayshree Bhattacharya; Shirshendu Dutta; Suvam Paul; Arnabi Nandy; Subhajit Kumar Roy; Santanu Basak; and Md Zunied.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-driven diagnostic framework for scalable mental health monitoring and early intervention. The system integrates artificial intelligence, computer vision, and speech analysis with clinically validated psychological self-assessment instruments to evaluate a user's mental health status. Facial expression data and voice characteristics are captured and analyzed to identify emotional and behavioral indicators, which are combined with standardized questionnaire scores to generate a comprehensive mental health risk profile. Machine learning models process multimodal inputs to detect early signs of psychological distress and classify risk levels. Based on the assessed risk, the system provides personalized insights, preventive guidance, and recommendations for self-care or professional intervention. Designed for accessibility and scalability, the invention supports multilingual interfaces, low hardware requirements, and both online and offline operation, enabling widespread deployment across clinical, institutional, and remote healthcare environments while ensuring data security and privacy compliance."
Disclaimer: Curated by HT Syndication.
