Design and Development of AI Driven Mental Health Support System for Teenagers
DOI:
https://doi.org/10.31695/IJASRE.2025.3.2Keywords:
Artificial intelligence, MenMental health support System, Mobile based application, Sentiment analysisAbstract
Mental health issues among teenagers are on the rise due to academic stress, social pressures, and the challenges of adolescence. Access to timely and effective mental health support is crucial, yet traditional methods of seeking help may feel intimidating or inaccessible to many young people. This project focuses on developing an AI-driven mental health support app tailored for teenagers, aimed at providing a safe, accessible, and personalized platform for emotional well-being. The app leverages artificial intelligence to offer empathetic, real-time support through an AI-powered Chabot that can engage users in meaningful conversations, detect emotional cues, and provide relevant coping strategies. Key features include a mood-tracking system to help users log and identify emotional patterns, personalized self-care plans, and access to a library of mental health resources. Additionally, the app integrates crisis intervention features, enabling immediate connection to professional support or helplines when high-risk behaviors are detected. Data privacy and security are prioritized, with advanced encryption and authentication mechanisms ensuring sensitive user data remains confidential. The app's user-friendly interface and scalable design make it adaptable to diverse educational and social settings. Regular updates and user feedback loops drive continuous improvements, ensuring the app remains relevant and effective in addressing the mental health needs of teenagers. This innovative AI-driven solution aims to enhance the accessibility, efficiency, and effectiveness of mental health support for teenagers, empowering them to manage their well-being with confidence and fostering a proactive approach to mental health care.
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Copyright (c) 2025 Jacob Zulu, Mr Peter Munyenyembe

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.