NEUROMIND-AI & BLOCKCHAIN BASED MENTAL HEALTH PLATFORM

Authors

  • Dr.Abdul Khadeer Assistant professor, Deccan College of Engineering and Technology Author
  • Mohammed Ayaz Ahmed UG Scholar, Deccan College of Engineering and Technology Author
  • Feroz Ahmed UG Scholar, Deccan College of Engineering and Technology Author
  • Mohammed Misbah UG Scholar, Deccan College of Engineering and Technology Author

Abstract

NeuroMind is a web-based platform designed to support students and youth struggling with mental health challenges such as academic stress, social media addiction, and procrastination. The platform integrates an AI chatbot for instant emotional support, offering techniques like cognitive behavioral therapy and mindfulness exercises to help users manage stress and improve focus. For more serious concerns, NeuroMind connects users with verified psychiatrists through secure online consultations, ensuring professional care is accessible. A key innovation is the use of blockchain-based smart contracts to automate session bookings and payments, enhancing transparency and security while eliminating intermediaries. The platform also provides data-driven insights to track progress and recommend personalized coping strategies. By combining AI-driven self-help tools with professional psychiatric services, NeuroMind addresses both immediate and long-term mental health needs. Its user-friendly interface ensures accessibility, while robust privacy measures protect sensitive user data. Targeting modern issues like exam pressure (JEE/NEET), dopamine-driven distractions, and excessive social media use, NeuroMind aims to create a supportive digital ecosystem that promotes mental well-being. Through technology and expert care, the platform strives to make mental health support efficient, affordable, and stigma-free, empowering users to achieve a balanced and productive lifestyle

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References

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Published

2025-08-01

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Articles

How to Cite

NEUROMIND-AI & BLOCKCHAIN BASED MENTAL HEALTH PLATFORM. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(8), 1-10. https://ijmec.com/index.php/multidisciplinary/article/view/910