Inspiration

This was inspired from the theme of this hackathon "Engineering Solutions for Real-World Service" and the problem statement I chose to work on: Critical infrastructure like EV chargers faces constant reliability challenges that lead to expensive downtime. Your mission is to build an intelligent incident response assistant that utilizes predictive maintenance to detect failures before they occur. Design a solution that measurably improves system uptime and demonstrates clear business impact through reduced operational costs. Create a high-performance tool that ensures reliability for mission-critical systems while optimizing long-term maintenance efficiency.

What it does

The application displays 51 EV charging stations located in the Davis, CA area on the main dashboard. When one of the charging bays hits a warning threshold, FIXT creates a ticket with relevant information on the charging bay, fastest route, problem description, predicted cause, and suggested fix. This ticket is assigned to the nearest technician. On the dashboard you can track the location of the technician making their way to the damaged charging bay.

How we built it

I used the OpenChargeMap MCP and OpenStreetMap MCP to pull data for routes, maps, distances, travel times, charging station locations, # of charging bays, operational, private/public access, type of charging ports, and charging voltage. I used typscript and leaflet.js for front end, back end logic, and maps UI. I used Supabase MCP for the back end. Supabase held the information for stations, charging bays, technicians, and tickets.

Challenges we ran into

I had trouble setting up the MCP servers. There was issues with the data not loading properly into Supabase as well.

Accomplishments that we're proud of

I'm extremely proud of what I built in this 24 hour hackathon. I had a wonderful time and learned a ton of amazing information I am excited to apply to projects in the future.

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