Mind-Bloom: Mental Health Detection System

Mental Health conditions such as depression, anxiety, trauma and sleep issues are continuously increasing rate of Global health crisis all over the world that often goes undetected or unseen until reaching critical stages. This research presents Mind-Bloom, an artificial intelligence powered mental health detection system that is designed to provide self-accessible, private, and early monitoring of psychological conditions. The solution collects user response via symptom-based questions that helps to take view on individual's mental health condition and uses ruledriven weighted scoring system to determine the behavioural and cognitive pattern about behaviour of an individual. As per the user's response system analyses the person's potential mental health condition such as depression, anxiety, sleep-related issues, self-harm risk, substance abuse, trauma, eating disorders and positive psychological states. This web-app is built on Firebase infrastructure, the platform offers real-time analytics, secure data management, patients and doctors dashboards, patient's analytical reports and scalable deployment capabilities. The research demonstrates that technology assists self- assessment platforms that can play a significant role in early monitoring of mental health.