Beyond Questionnaires: Passive Behavioral Monitoring for Institutional Wellness.
COGNIA is a privacy-first mental health platform designed for university campuses. Unlike traditional wellness apps that rely on flawed self-reporting, Cognia captures Digital Biomarkers passively—detecting crises before they manifest through objective behavioral data.
Traditional mental health monitoring is reactive. Cognia makes it proactive.
- Welfare Heatmap: An institutional dashboard that visualizes stress patterns across rooms and floors using anonymized telemetry.
- Privacy Shield: All student data is hashed using SHA-256 on-device. No names, no register numbers, only behavior.
- VTOP Handshake: Secure student authentication via institutional portals without storing credentials.
- Tech: Kotlin, Jetpack Compose, WorkManager.
- Biomarkers:
- Sleep Latency: Analyzing screen-off/on cycles for insomnia detection.
- Social Ratio: Real-time notification response latency (withdrawal signaling).
- SSID Diversity: Location variety tracking (isolation detection).
- Tech: Next.js 16 (Turbopack), Tailwind 4, Framer Motion.
- Modules:
- High-Risk Triage: Automated clinical alerts for outlier behavioral signals.
- Institutional Trends: Real-time campus-wide stress and activity curves.
- Identity Audit Log: Transparent, immutable sync registry for privacy auditing.
- Tech: FastAPI (Python), SQLAlchemy (Async), NeonDB (PostgreSQL).
- Security: Asynchronous handshakes with JWT-free session cloning.
cd backend
python -m venv venv
source venv/bin/activate # venv\Scripts\activate on Windows
pip install -r requirements.txt
python init_db.py
python run.pycd web
npm install
npm run dev- Open
android/in Android Studio. - Ensure
BASE_URLinConstants.ktpoints to your backend. - Build and Deploy!
Cognia adheres to a strict "Patterns, Not People" protocol. Identity anonymization happens at the source, ensuring that university administration sees behavioral health trends, not individual student identities.
Built for the VIT Chennai Hackathon 2026.