MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134088 A) filed by Karpagam Academy Of Higher Education; Karpagam Institute Of Technology; Renuga K; and Mohamad Mustakali F, Coimbatore, Tamil Nadu, on Dec. 31, 2025, for 'mindpol-empowering your mental well-being.'
Inventor(s) include Renuga K; and Mohamad Mustakali F.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Mental health challenges such as stress, anxiety, depression, and emotional instability continue to affect millions of individuals worldwide, creating a significant burden on public health systems and society. Despite growing awareness, timely access to professional psychological support remains difficult due to stigma, cost barriers, geographical limitations, and the shortage of trained mental health practitioners. To address these gaps, this research presents MINDPOL, an AI-driven conversational mental health support system designed to deliver accessible, empathetic, and personalized assistance. MINDPOL integrates advanced Natural Language Processing (NLP), emotion recognition, and psychologically informed intervention frameworks to engage users in meaningful and supportive dialogue. The system incorporates an intelligent NLP engine capable of understanding user intent, contextual cues, and linguistic patterns, ensuring responses that are both relevant and emotionally appropriate. An embedded emotion-recognition module evaluates real-time sentiment and behavioral signals, enabling adaptive adjustments in tone, response strategy, and therapeutic guidance. By leveraging principles from Cognitive Behavioral Therapy (CBT), mindfulness practices, and stress management techniques, MINDPOL delivers structured interventions aimed at helping users reframe negative thoughts, build coping skills, and enhance emotional resilience. A key feature of MINDPOL is its early intervention capability, which identifies signs of psychological distress or crisis indicators and provides timely safety recommendations or referrals to professional resources when necessary. The architecture emphasizes privacy, data security, and ethical AI practices, ensuring that user interactions remain confidential, anonymized, and compliant with mental health support guidelines. The system is designed for seamless integration across mobile applications, web platforms, and messaging services, making mental health support available 24/7 and scalable to diverse user populations. By combining artificial intelligence with evidence-based psychological methodologies, MINDPOL demonstrates the potential to complement traditional mental health care, reduce accessibility gaps, and serve as a proactive tool for emotional well-being in digital environments."
Disclaimer: Curated by HT Syndication.
