Teen Mind-AI– An Android-Based Mental Health Forecasting System for Teenagers Using AI

Mental health challenges among teenagers are rapidly increasing due to rising academic demands, peer pressure, and changing lifestyles.Early identification of such risks is essential for providing timely care and preventive support.This study presents Teen Mind-AI, an Android-based intelligent system designed to assess and predict the mental wellness levels of teenagers.The system collects responses through a structured questionnaire and employs machine learning models, primarily Random Forest and Logistic Regression, to classify individuals into Low, Medium, or High-risk categories.A secure user authentication system is integrated with Firebase for data storage and communication between the mobile client and the AI server through REST APIs.The trained model is deployed via Flask, ensuring scalability, privacy, and real-time predictions.The study highlights a robust and efficient architecture capable of emotion-based analysis and predictive insights.Future integration with wearable devices and deep learning models can further enhance accuracy and personalization.Overall, Teen Mind-AI demonstrates a practical and technology-driven approach to early mental health risk detection among teenagers.