MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641081618 A) filed by Cmr Institute Of Technology on July 02, 2026, for Stress Buzz: An Early Intervention Mental Health Support System.
Inventors include Amrutha Roshni Nagolu; Chikka Seemanthini; Sakshitha Suddala; Dasari Chandana; Varshitha Pinninti; and Govindavajhala Srividya.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses Stress Buzz, an artificial intelligence-powered early intervention mental health support system specifically designed to address the psychological needs of students in academically stressful and conflict-affected environments. The system comprises an AI chatbot engine with real-time multilingual natural language processing and sentiment analysis capabilities that continuously monitor user emotional states, detect crisis indicators, and generate evidencebased therapeutic responses or trigger human counselor escalation protocols as appropriate. The platform includes a confidential teleconsultation module connecting students with credentialed local and remote counselors through encrypted communication channels, a multilingual digital resource hub delivering psychoeducational content and trauma-informed support materials in regional languages including Kashmiri, Dogri, Urdu, and Ladakhi with full offline accessibility, and a moderated peer support forum providing a safe community environment under multi- layer automated and human oversight. A longitudinal mood tracking and journaling subsystem collects time-stamped emotional state data and applies trend analysis algorithms to identify early warning patterns of psychological deterioration, surfacing actionable insights through personalized user dashboards and authorized counselor portals. An administrative analytics dashboard aggregates anonymized population-level mental health data to enable institutional evidence-based decisionmaking and proactive resource deployment. The system architecture employs Firebase and Node.js backend infrastructure with TLS 1.3 encrypted data transmission, OAuth 2.0 authentication, and role-based access controls to ensure comprehensive data privacy and regulatory compliance. Modular API-driven design enables scalable deployment across universities, government agencies, and NGO networks, with support for both cloud-hosted and institutional on-premises configurations, making the invention adaptable to diverse infrastructural and institutional requirements.
Disclaimer: Curated by HT Syndication.
