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@article{195489,
        author = {Anand Prajapati and Suraj Prajapati and Roshan Prajapati},
        title = {NeuroScan: A Smart Platform for Early Mental Health Insights},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1310-1316},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195489},
        abstract = {Depression, anxiety, and stress are manifestations of mental health disorders that need early identification for effective treatment. NeuroScan is an AI-based mental health monitoring system that uses standardized self-analysis questionnaires, facial emotion recognition, and behavioral cues to offer early mental health signals. The app captures a snapshot of the user's face during each assessment and analyzes it through AI alongside response-time behavior and activity patterns, enhancing reliability and accuracy. A weighted risk computation model integrates these multi-modal inputs into a single mental health indicator with tailored suggestions. NeuroScan combines clinical questionnaires with AI-based analysis to improve the accuracy of primary mental health assessment while maintaining high levels of privacy and security.},
        keywords = {---artificial intelligence, Mental health surveillance, facial emotion recognition, behavioural analytics, self-reporting questionnaires, medical analytics.},
        month = {April},
        }