ROAD RISK AIThat Prioritizes Safety.

Predictive Safety Intelligence Layer for Navigation Systems.

94%
Prediction Accuracy
2.5M+
Road Segments Analyzed
50ms
Response Time
24/7
Real-time Monitoring
About Project

RoadRisk AI

A modular safety intelligence layer designed to integrate with navigation ecosystems.

The Problem

Accidents Repeat

Accidents repeatedly occur at the same road segments.

Time vs Safety

Current navigation systems optimize time, not safety probability.

Reactive Action

Governments act after fatalities, not before risk escalation.

No Risk Score

No system publicly assigns a predictive risk score per route.

No Real-World Prototype

There is no practical prototype today that demonstrates how predictive road safety can work in real world conditions.

Our Solution

Safety Intelligence Layer

RoadRisk AI is a navigation-agnostic safety intelligence layer.

Predictive Risk Score

Generates a Risk Score (0–100) using historical accident data and cluster analysis.

Dynamic Visualization

Dynamically colors the route by risk level (Green/Orange/Red) for awareness.

Safest Route

We shift navigation from Fastest Route → Safest Route.

System Architecture

Data Sources
Historical Data
Route Geometry
GPS Telemetry
Risk Engine
AI-Powered Analysis
Risk Visualization
Dynamic Route Coloring
Risk Engine

Risk Calculation Logic

Transparent, data-driven safety scoring for every route.

1

Route Extraction

Extract route polyline points from navigation provider.

2

Cluster Detection

Detect accident clusters within 500m radius of route points.

3

Density Analysis

Count proximity density to determine risk intensity.

Scoring Formula
riskScore = min(100, accidentCount × 10)
0 – 30Low Risk
31 – 60Medium Risk
61 – 100High Risk
About Team

Meet the Innovators

A passionate team dedicated to making roads safer for everyone.

Adithya Gowda

Full Stack AI Developer

Passionate about leveraging AI to solve complex problems. Loves collaborating with AI tools and continuously growing expertise in modern development.

Vinay Kumar C

Hardware Developer

Specializes in designing and implementing hardware solutions for IoT and embedded systems integration.

Nikhith S

Cybersecurity Researcher

Dedicated to researching security threats and implementing robust protection mechanisms for data integrity.

Hansika Agrawal

Frontend Developer & Designer

Creates beautiful and intuitive user interfaces with a focus on user experience and modern design principles.

Jasaswini Sahu

Research & Development

Drives innovation through research and development initiatives, exploring new technologies and methodologies.

JGI
JAIN (Deemed-to-be-University), Faculty of Engineering and Technology (FET)
Innovations Begin for Better Nation
Inceptrix Hackathon 2.O
Our Vision

“To create a world where every journey is a safe journey, powered by intelligent systems that protect lives before accidents happen.”

Differentiation

Why RoadRisk AI?

We don't just show the way; we show the safest way.

Capability
Traditional Navigation
RoadRisk AI
Fastest Route
Not primary
Traffic AI
Not primary
Predict Accident Risk
Route Safety Scoring
Institutional Safety Analytics

Target Impact

Primary User: Institutions | Secondary User: Drivers

Municipal Corporations

Urban planning & safety.

Traffic Police

Proactive risk management.

Insurance Firms

Risk assessment & premiums.

Logistics Fleets

Safe route optimization.

Smart City Infrastructure

Data-driven safety insights.