BMSCE, team of four · Oct 2022 – Apr 2023

COVID-19 Decision Support System

An IoT-enabled, two-stage diagnostic pipeline combining vitals, symptoms and chest X-rays — 6th place college-wide.

An IoT-enabled home-assessment system that combines sensor data, symptom checklists, and X-ray/CT analysis using deep learning and rule-based logic.
Stage one gives a preliminary assessment from vitals and symptoms. Stage two adds chest X-ray analysis for a deeper diagnosis.
A guided UI:
- Phase 1 asks screening questions.
- Phase 2, if needed, asks for a chest X-ray upload.
- A final rule-based engine combines all inputs into a report with recommended next steps.
Awarded 6th place college-wide. Related papers are listed under Publications.