Inspiration College burnout builds silently through deadlines, poor sleep, and chronic stress. We wanted a tool that flags risk early and helps students rebalance before they hit a wall.
What it does Burnout Radar imports calendar events, lets users paste assignments, and takes a short voice check-in (Deepgram). It predicts a 7-day burnout risk score and highlights peak stress times. It also includes a Recovery Planner that recommends nap windows + nap length and meal timing using calendar free blocks and sleep debt.
How we built it
Frontend: Next.js / React UI
Backend: API server + database
Integrations: Google Calendar OAuth + Deepgram voice transcription/stress signals
Data: ATUS used for baseline behavioral context (optional / supporting)
Challenges:
Designing a stress model that is explainable and safe (no medical claims)
Making recommendations that respect calendar constraints
Translating voice signals into a useful “stress input” without overreaching
Accomplishments:
End-to-end demo: calendar → assignments → voice → 7-day forecast
Shippable Recovery Planner that feels smart and actionable
Clear ethical framing: not diagnosis, not therapy, no medical data
What’s next:
Better personalization over time using user feedback after deadlines
More robust workload estimation from syllabi/Canvas exports
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