The problem
Students rarely drop out suddenly; absences and disengagement build up quietly, but nobody connects the signals in time.
What to build
Build a dashboard that combines attendance, assessment and participation signals to surface at-risk students early, with suggested supportive actions.
Success looks like
Early flags that precede dropout in historical data, strict role-based access and a plan that frames outputs as support, not punishment.
Suggested technologies
- Predictive analytics
- Fairness testing
- Role-based access
- Dashboards
- Intervention tracking
An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.