Our Mental Health Prediction Web App leverages multiple machine learning algorithms—including Logistic Regression, Random Forest, SVM, KNN, Naive Bayes, Decision Tree, and XGBoost—for early and accurate detection of mental health conditions. Built with Django, HTML/CSS/Bootstrap, and powered by Python’s data analysis libraries, this AI-driven solution transforms behavioural data into actionable mental health insights.
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