ResQ | Devpost

Homepage of ResQ
Selection of Hospital (Ambulance interface)
Hospital interface
Real-time tracking

Inspiration: One of my family member has been admitted at the hospital for eye surgery. During the stay and visit, i noticed many inefficiencies with the management of the hospital services. There was a lack of coordination between the nurse , surgeon and other staff. This motivated me to develop a solution

What it does: ResQ is an AI-driven hospital command system that acts as a centralized operational intelligence layer for large hospitals. It integrates real-time clinical, logistical, and infrastructural data to enable faster emergency response and decision-making.

** How we built it:** We built a responsive Streamlit interface that acts as the entry point. The Paramedic inputs unstructured data—voice notes, vital signs (BP, HR, SpO2), and patient history—simulating a high-pressure environment where speed is critical. This data is instantly sent to Google Gemini AI. The AI acts as a "Digital Triage Officer," analyzing the vitals against clinical protocols to generate a Severity Score (1-10) and determining if the patient requires an ICU or General Ward bed. Simultaneously, we trigger OpenStreetMap (via Overpy) to fetch the ambulance's live GPS coordinates. The system filters nearby hospitals based on the AI’s recommendation (e.g., "Find nearest hospitals with ICU capacity"), calculating precise distances using Geopy. Finally, we implemented a Shared Session State to link the two interfaces. When the ambulance requests admission, the Hospital Dashboard updates instantly with a "Code 3" alert, allowing doctors to Authorize or Divert the ambulance before it even arrives.

Challenges we ran into: We faced a lot of issues. Selection of Gemini version, Accessing the real-time location, Proper triaging, Selection of hospitals based on severity

Accomplishments that we're proud of - -Integrated "Live" Real-World Data -Deployed State-of-the-Art Clinical AI - Severity based rerouting

What we learned: Bridging AI with Real-World Geospatial Data, API Security, Integration of Streamlit with Python as backend and a lot more

What's next for ResQ Integration of Green corridor which controls the traffic whenever there is an emergency of ambulance in a efficient way.