Equilibria

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About the Project Equilibria is an intelligent burnout prediction and prevention platform designed for students navigating high-pressure academic environments.

Our platform combines behavioral inputs (sleep, workload, deadlines, stress self-reports, sentiment) with a dynamic risk engine to calculate a real-time burnout probability score. Instead of simply reacting to burnout after it happens, Equilibria forecasts risk trends over time and delivers structured, actionable recovery plans tailored to the user’s current workload pattern.

Key features include:

📊 Adaptive Risk Engine – A weighted, normalized scoring system that calculates burnout probability even with partial data inputs.

📈 14-Day Forecasting Model – Uses linear regression to project risk trends and identify potential burnout spikes before they occur.

🧠 Focus & Activity Monitoring – Optional camera-based active vs. idle tracking to estimate work engagement intervals.

📱 QR-Based Wellness Check – A lightweight pulse check system that allows users to upload biometric inputs via mobile.

✅ Dynamic Action Plans – Context-aware recommendations (Balanced Week, Midterms Week, All-Nighter Recovery) that convert risk signals into concrete productivity and recovery steps.

Equilibria is designed to be proactive, interpretable, and non-invasive. Rather than replacing student judgment, it acts as a decision-support system — helping users prioritize effectively, cap unhealthy work patterns, and protect sleep before burnout escalates.

Our goal is simple: Shift from burnout reaction to burnout prevention.

Built With

• css
• gemini
• next.js
• presage
• react
• recharts
• tailwind
• typescript