| eDNA Sequence Upload | River Health Dashboard | Real-Time Alert Broadcasts |
|---|---|---|
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AI-powered eDNA analysis for Indian river health monitoring
Team Creatus · Biothon 2026 · Marwadi University · Top 50 Nationally
RiverSense AI reads environmental DNA (eDNA) extracted from river water samples, classifies biological communities using AI, and generates a real-time Biodiversity Health Score — automatically alerting government agencies when a river is at risk.
River health monitoring in India is manual, infrequent, and slow. By the time lab results confirm a pollution event, the damage is done. No automated early-warning system exists for Indian agencies.
- Sequences — pulls real metagenomic eDNA data from river samples (source: NCBI-SRA, Ganga river, run SRR8837334)
- Classifies — runs Kraken2 taxonomic classification on organisms present in the water sample
- Scores — computes a 0–100 Biodiversity Health Score from the abundance profile
- Alerts — sends an automated email directly to government agencies when the score crosses a risk threshold
When a river scores below the healthy threshold, RiverSense AI automatically dispatches an alert email (via Gmail SMTP) to:
- CPCB — Central Pollution Control Board
- Jal Shakti Ministry — national water resource authority
- WCCB — Wildlife Crime Control Bureau
- NFDB — National Fisheries Development Board
No manual trigger needed. The pipeline runs, scores the river, and sends the alert — end to end.
| Layer | Technology |
|---|---|
| ML / AI | DNABERT (fine-tuned), Kraken2, Gemini 1.5 Flash |
| Backend | FastAPI, SQLAlchemy (SQLite), Redis |
| Frontend | React, Tailwind CSS |
| Alerts | Gmail SMTP |
| Data | NCBI-SRA (SRR8837334) |
TEAM LEADER : THIVISHA ROLE : AI/ML Pipeline (DNABERT FINETUNING AND AUTOMATION )
TEAM MEMBER: KOYEL GHOSH ROLE:BACKEND(FASTAPI +MONGODB)
TEAM MEMBER 2 : SWATI GHARA ROLE: FRONTEND
Frontend UI/UX details: See FRONTEND_CONTRIBUTION.md
npm install
npm run devOpen http://localhost:3000 to see the app.
See backend setup instructions in /app or contact the backend lead.
Real metagenomic sequencing data from the Ganga river:
- Study: SRP190174
- Run: SRR8837334
- Source: NCBI Sequence Read Archive
Built for Biothon 2026 — Environment & Biodiversity track