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@article{180446,
        author = {Bhagwat Shinde and Ayush Deshmukh and Soham Charthankar and Pratik Zambare},
        title = {MINDSCAPE: EMPOWERING MENTAL HEALTH},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1613-1617},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180446},
        abstract = {This paper provides a novel, information- driven solution for improving Mental Health. MindScape is a web-based mental health support system designed to detect stress and emotional distress using AI technologies such as Convolutional Neural Networks (CNN) for video- based emotion recognition and Natural Language Processing (NLP) for chatbot interaction. The system enables users to analyze their mental state through recorded video inputs and responses to predefined chatbot questions. With real-time emotion analysis, sentiment assessment, and personalized content suggestions, MindScape serves as an accessible and confidential platform for monitoring mental health.},
        keywords = {Mental Health, Emotion Recognition, NLP, Chatbot, AI, Stress Detection, Suicide Tendency Detection, Sentiment Analysis, Flask, Video Analysis.},
        month = {June},
        }