🧠 Student Mental Health Analysis

An interactive Streamlit site for analyzing university student mental health patterns, academic performance, and demographics.

📊 Key Features

• Interactive Visuals: Demographics, mental health indicators, CGPA, and course-wise trends
• Mental Health Insights: Depression, anxiety, panic attack prevalence
• Academic Correlations: CGPA vs. mental health, year-wise analysis
• Data Mining: Association rules (Apriori), K-Means clustering
• Modular Code: Clean separation of preprocessing, visualization, and mining logic

🗂️ Project Structure

student-mental-health-dashboard/

├── app.py - Streamlit app

├── data_prep.py - Data preprocessing

├── viz.py - Visualizations

├── mining.py - Apriori & K-Means

├── requirements.txt - Dependencies

├── Student-Mental-health.csv - Data

└── README.md