Student Stress Insights Dashboard

🌱 Inspiration Student mental health is often discussed, but rarely understood through data. Academic pressure, lifestyle habits, living conditions, and social environments all contribute to stress, yet these factors are usually analyzed in isolation. Our inspiration was to use data visualization and analytics to uncover patterns in student stress and help institutions, educators, and students make informed decisions that support well-being.

🎯 What the Project Does This project is an interactive Student Stress Analysis Dashboard built using Hex. It allows users to: Explore the overall distribution of student stress levels Compare stress across countries, courses, living types, and semesters Analyze relationships between stress and factors like: Sleep Exercise Family responsibilities Coping mechanisms

The dashboard transforms raw survey data into actionable insights using dynamic charts and filters.

🛠️ How We Built It *Imported and cleaned a dataset of 14,056 student records *Used SQL and Python for data exploration and preparation *Built interactive visualizations using Hex charts *Implemented project-level filters for dynamic exploration *Structured insights using clear sections and storytelling

The entire workflow—from querying data to publishing an interactive app—was done inside Hex.

📚 What We Learned How to design interactive dashboards for non-technical users Best practices for data storytelling The importance of filter consistency across multiple visualizations How small lifestyle changes can have measurable impacts on stress levels Publishing and presenting analytics projects effectively for hackathons

🚧 Challenges We Faced

Managing filter linking across multiple charts Handling undefined variables in dynamic inputs Ensuring all charts stayed synchronized with project filters Balancing technical accuracy with visual clarity Designing a dashboard that remains intuitive despite complex data

Each challenge helped us improve both the technical and UX aspects of the project.

🌟 Impact & Future Scope This project demonstrates how data can be used to: Support student well-being initiatives Help institutions identify high-risk stress groups Inform better academic and lifestyle policies Future improvements could include. Predictive stress modeling using ML Personalized recommendations Real-time data collection integrations

Built With

• data-visualization
• hex
• interactive-dashboards
• public-datasets
• sql