MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017340 A) filed by Sudhakar G; and Sri Sai Ranganathan Engineering College, Coimbatore, Tamil Nadu, on Feb. 17, for 'decentralized student mental health support system using blockchain technology.'
Inventor(s) include Deepa S; Arunkumar. M; Saran K; Srinivas S; Pavithra B; Maheshwari S; and Sudhakar G.
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: "Student mental health has emerged as a critical issue in higher education, yet traditional support systems often face challenges such as lack of accessibility, privacy concerns, and social stigma that discourage students from seeking timely help. To address these limitations, this paper proposes a decentralized student mental health support platform leveraging blockchain technology to guarantee privacy, security, and trust. The platform enables students to interact with licensed counsellors through pseudonymous identities, ensuring confidentiality and reducing the fear of social judgment. All communication between students and counsellors is encrypted end-to-end and stored securely using the Inte Planetary File System (IPFS), which ensures distributed and tamper-resistant data storage. In addition, smart contracts deployed on Ethereum or Polygon networks manage session authentication and enforce access control policies without reliance on a centralized authority, thereby eliminating risks of data leakage, manipulation, or unauthorized access. By decentralizing the support process, the system creates a stigma-free and secure environment where students can confidently seek professional guidance. The platform is designed to be extensible and adaptable. Proposed enhancements include the integration of token-based incentive mechanisms to encourage active participation, peer-support modules to foster community-driven mental health awareness, and AI-driven counsellor matching algorithms that recommend suitable professionals based on students' preferences and prior interaction patterns. Together, these features aim to improve accessibility, personalization, and engagement in mental health services. Through this novel approach, the study highlights the potential of blockchain and decentralized technologies in creating a secure, transparent, and student-friendly ecosystem for mental health support, paving the way for scalable adoption in academic institutions worldwide."
Disclaimer: Curated by HT Syndication.
