Design-Based Research Capstone

ClubPulse Capstone

A Design-Based Research (DBR) capstone project addressing youth wellbeing through real-time emotional insights. This full-stack platform uses JavaScript, Python, and Flask to enable anonymous mood check-ins, identify wellbeing trends, and help staff provide targeted support for club members.

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In Development / Pilot Phase

Project Leads Virginia, Vivian, Nitya

ClubPulse

Real-Time Youth Wellbeing Insights

✓ Anonymous mood check-ins for students

✓ AI identifies trends in stress, loneliness, or confidence

✓ Alerts for staff when students may need extra support

✓ Wellness resources and activities for members

✓ Data dashboard for program leaders

✓ Privacy-first data system with anonymized tracking

Python Flask Backend JavaScript Frontend with Chart.js Machine Learning (Scikit-learn) PostgreSQL Database RESTful API Design Privacy-Preserving Analytics

About

ClubPulse gives staff insight into how members are doing emotionally. Students can check in with simple prompts, helping identify trends early. Through iterative Design-Based Research cycles with Boys & Girls Club staff and youth, the platform evolved to prioritize privacy while delivering actionable insights. Staff can then provide targeted support programs like tutoring, mentoring, or mental wellness activities. The system uses machine learning to detect patterns in wellbeing data while maintaining complete anonymity, ensuring youth feel safe sharing their emotions.

Impact

Earlier support for struggling youth

Better program planning based on wellbeing trends

Healthier club environment through targeted interventions

Data-informed resource allocation

Improved staff-youth relationships

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