Smart EV Hub

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  Smart EV Hub dashboard visualizing EV fleet status, battery health, and AI-powered recommendations generated using Gemini 3.

Inspiration

As electric vehicles become more common, managing EV fleets efficiently is a growing challenge. We were inspired to build Smart EV Hub to explore how AI and IoT data can work together to improve battery usage, predict maintenance issues, and support smarter operational decisions for EV fleets.

What it does

Smart EV Hub is an AI-powered EV fleet management system that simulates IoT sensor data from electric vehicles and processes it through a backend service. The system collects data such as battery level, temperature, motor status, and location, then generates intelligent insights that help identify vehicles needing charging, maintenance, or route optimization. A frontend dashboard displays these insights in a clear and interactive way.

How we built it

The backend was built using Node.js and Express to receive and process EV sensor data. A Python script simulates IoT data and sends it to the backend via HTTP requests. The frontend dashboard was built with React to visualize vehicle status and AI-generated recommendations. The project is structured to integrate with the Gemini 3 API for advanced AI analysis and natural language insights.

Challenges we ran into

One of the main challenges was designing a clean data flow between the simulated IoT data, backend process.

Built With

• apis
• express.js
• github
• iot
• javascript
• node.js
• python
• react
• rest