InspiWe were inspired by the reality that many people feel unsafe walking at night, especially in unfamiliar areas. Traditional navigation apps focus on speed, not safety, leaving a critical gap in personal security.ration

What it does

SafeRoute AI provides safer route options by analyzing reported incidents and risk factors. It visualizes safety levels on a map and allows users to report unsafe locations in real time

How we built it

We built the frontend using React and Mapbox for interactive mapping and visualization. The backend uses Node.js, Express, and MongoDB to store incidents and calculate route safety scores.

Challenges we ran into

Integrating real-time map interactions with backend data required careful state and API handling. Designing a simple but meaningful safety scoring algorithm within hackathon time constraints was challenging.

Accomplishments that we're proud of

We successfully built a working full-stack application within the hackathon period. We implemented live incident reporting and dynamic safety visualization on the map.

What we learned

What's next for SafeRoute AI – Real-Time Personal Safety Navigation

We plan to integrate official city crime datasets and improve the AI-based risk prediction model.

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