Hardware Diagnostic System

We partnered with a global technology manufacturer to build hardware diagnostics tool to extract data from hardware and a web application for real-time hardware testing. The system automates diagnostics, reduces errors, and empowers engineers with clear, actionable insights.
The result?
A responsive diagnostic platform that automates hardware testing and streamlines engineering workflows.

PROJECT OVERVIEW

Our client, a leading technology manufacturer (under NDA), needed a specialized hardware diagnostic system to test, monitor, and troubleshoot their devices efficiently. The goal was to build a secure, responsive web application that provided real-time diagnostics, detailed reporting, and an intuitive interface for technical teams.

Client’s Request /
Problem Statement

The client’s existing diagnostic process relied on outdated tools that were slow, inconsistent, and difficult to maintain. This created bottlenecks in testing cycles and delayed product rollouts. They needed a modern diagnostic platform that would:

  • Run automated tests on hardware devices.
  • Provide real-time monitoring and performance insights.
  • Deliver detailed error logs and reporting for engineers.
  • Be accessible across devices with a responsive, secure interface.
  • Scale to support growing hardware product lines.

Goals & Objectives

  • Automation:
    Reduce manual effort by automating testing workflows.
  • Efficiency:
    Speed up diagnostics to minimize downtime.
  • Clarity:
    Present data and error reports in a clear, actionable way.
  • Scalability:
    Support multiple device types and testing configurations.
  • Accessibility:
    Ensure cross-device, responsive usability for technicians in the field.

Key Features Delivered

  • Automated diagnostic testing modules.
  • Real-time monitoring dashboards with live device data.
  • Detailed error reporting and logs for troubleshooting.
  • User role management with secure access.
  • Responsive design for desktops, tablets, and field laptops.
  • Scalable infrastructure for future device lines.

Technologies Used

React • Python • Raspberry Pi • AWS IoT • MQTT