DIGITAL MENTAL HEALTH MONITORING AND STRESS DETECTION SYSTEM

This project focuses on detecting and analyzing stress levels among students using multiple parameters such as academic pressure, emotional state, lifestyle habits, and social interaction. The system calculates a stress score and categorizes it into different levels such as low, medium, and high stress. Based on the results, personalized suggestions are provided to help users improve their mental well-being. Additionally, a chatbot is integrated to offer real-time guidance and support. The system also includes trend visualization to track stress levels over time.