Electric Vehicle Comparison Platform
A frontend platform for component-level EV comparison on a large structured dataset without backend infrastructure.
Where we started
Traditional web platforms are unable to process large industrial datasets on electric vehicle components without the use of expensive server infrastructure, as loading raw Big Data directly into the browser leads to critical memory overuse, interface freezes, and a drop in rendering performance when attempting to compare hundreds of battery or engine parameters simultaneously.
What we did
A serverless client-side web application was developed using a stack of React, TypeScript, and Styled Components. It directly reads optimized data chunks from AWS S3 storage, offloads all heavy analytical calculations to background JavaScript threads using Web Workers, and visualizes complex component performance graphs using high-performance interactive libraries without impacting the browser's main thread.
What we achieved
We've created a self-contained, fault-tolerant platform with zero backend infrastructure overhead, ensuring instant interface response (metrics recalculation in less than 100 ms) and smooth visualization of dozens of electric vehicle models at a stable 60 FPS, as confirmed by a Google Lighthouse performance score of 95+.
What the project looks like
Mockups, key screens, and design fragments.
Project cover 
Interface / dashboard 
Workflow scenario 
Details 