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@article{177822,
        author = {Shevika T and Sanjeev Kumar A and Sujai A and Surya S and Manojpraphakar T},
        title = {MINDMATE - CHATBOT FOR MENTAL HEALTH SUPPORT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1947-1955},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177822},
        abstract = {In today's rapidly evolving world, mental health challenges such as depression, anxiety, and stress are more widespread than ever, yet access to traditional support systems remains limited due to factors like cost, availability, and social stigma. To address this growing need, AI-powered chatbots have emerged as a promising solution, offering immediate, accessible, and confidential mental health support. This study presents MindMate, an AI-driven chatbot designed to bridge the gap in mental health care by leveraging Natural Language Processing (NLP), machine learning, and speech recognition technologies. MindMate provides real-time, multilingual, and personalized interactions to support users in managing emotional distress, while also offering referrals to professional help when needed. Built on a Streamlit web-based platform and powered by Google Generative AI and FAISS for intelligent response generation and information retrieval, the chatbot ensures a user-friendly experience through both text and voice communication. Despite its benefits, the system acknowledges limitations, such as its inability to fully replace human therapists and its reliance on data quality for accurate performance.},
        keywords = {AI-driven chatbot, MindMate, Natural Language Processing, FAISS, Google Generative},
        month = {May},
        }