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@article{189140,
        author = {Raj Nema and Nisha Meena and Preet Kanathe and Pravesh Sachan and Jayram Dwivedi},
        title = {AI-Driven Mental Health Detection System Using Sentiment Analysis and Geospatial Heatmap Visualization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {5470-5474},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189140},
        abstract = {This paper introduces a web-based Mental Health Detection System developed to address the escalating need for real-time emotional monitoring. By leveraging Artificial Intelligence, the application analyzes multi-modal user data, including text captions and images, to determine emotional states and mental health risk levels. A core innovation of this research is the integration of a live geospatial dashboard that utilizes Leaflet and OpenStreetMap to visualize "stress zones" via interactive heatmaps. The system is built on a high-performance stack comprising MongoDB, Express.js, React.js, and Node.js (MERN), with AI processing handled by Hugging Face models. Experimental results indicate that the system successfully identifies high-risk areas, providing authorities and counselors with a vital tool for timely intervention.},
        keywords = {Mental Health Detection, AI, Emotion Analysis, Sentiment Analysis, Geospatial Mapping, Heatmaps.},
        month = {December},
        }