RoadGuardian AI — Hackathon Submission - #144
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Open Source Hackathon 2026 Project Submission
Participant Details
Full Name:
Sudhindra Kumar
GitHub Username:
sudhindra62
Team Name:
Skar
College/University:
Maharaja Institute Of Technology Mysore
Project Details
Project Title:
EmergencySOS
Project Description:
Question 1. What does the project do?
RoadGuardian AI is an AI-powered emergency coordination platform designed to reduce response time during road accidents.
When someone reports an accident using voice, text, image, or SOS input, the system automatically:
Instead of requiring multiple manual phone calls and decisions, RoadGuardian AI acts as a single intelligent operating system for emergency response.
Question 2. What problem does it solve?
Today, emergency response is highly fragmented.
During an accident:
This delay becomes critical during the Golden Hour — the first hour after trauma where treatment speed strongly impacts survival.
RoadGuardian AI solves this by converting one SOS report into an automated multi-agency workflow.
Question 3. How does it work?
Step 1 — User Reports Accident
Input methods:
Voice
Text
Image
Emergency SOS
Step 2 — AI Understands the Incident
System extracts:
Location
Severity
Injury indicators
Number of victims
Priority level
Step 3 — Multi-Agent System Activates
Agents coordinate automatically:
Emergency Coordinator Agent
Severity Analysis Agent
Hospital Discovery Agent
Ambulance Dispatch Agent
Police Coordination Agent
Step 4 — Live Command Dashboard Updates
Dashboard displays:
Incident status
Golden Hour countdown
Ambulance ETA
Hospital allocation
Police status
Response tracking
Live map
Step 5 — First Aid Guidance
AI immediately gives instructions such as:
Control bleeding
Stabilize patient
Prevent unsafe movement
Question 4.Why does this project matter?
Because accidents do not fail due to lack of hospitals.
They fail due to delay, confusion, and poor coordination.
RoadGuardian AI changes emergency response from:
Reactive : wait then call then dispatch then delay
to
Agentic : detect then decide then coordinate then act
Expected impact:
Faster dispatch decisions
Reduced emergency delay
Better hospital preparedness
Improved bystander response
Higher survival probability during Golden Hour
Tech Stack Used:
Frontend: React + TypeScript + Tailwind CSS + Framer Motion + Glassmorphism UI + Leaflet/OpenStreetMap
Backend: Node.js + Express + REST APIs + WebSockets
AI Layer: Agentic AI Orchestration + NLP + Rule Engine + OpenAI/Gemini APIs
Database: PostgreSQL + Prisma
Deployment: Vercel
GitHub Repository Link:
https://github.com/sudhindra62/emergencysos_roadguardian_vercel.git
Live Demo Link:
https://emergencysosroadguardianvercel.vercel.app/
Presentation / Demo Video Link:
https://drive.google.com/file/d/1RRrNGaf65wA3dMnY-KykwxoCgeuNLwA_/view?usp=sharing
Open Source Readiness
Memori Labs Sponsor Task
Please complete these before submitting:
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ID Card Verification
Additional Notes
In this era when AI is taking jobs, I believe that AI won't take your jobs but someone who knows how to use AI will and so I am working on it and am pretty confident that I will achieve it by being such a one ...
Thank You !!!