Machine Analytics Dashboard – Real-Time Monitoring & Sensor Insights
Monitoring and analyzing machine performance data is crucial for industrial efficiency and predictive maintenance. Machine Analytics Dashboard is a multi-page web application designed to give engineers, technicians, and managers a real-time overview of machine health, detailed sensor insights, and actionable analytics — all in one intuitive interface.
Project Overview
The dashboard provides a centralized platform to monitor machine status, analyze sensor data, and track key performance metrics. By combining interactive visualizations, detailed machine insights, and time-series sensor analysis, the platform helps teams identify issues early, optimize operations, and reduce downtime.
Key Features
Dashboard Overview: KPI cards, machine status pie charts, and search/filter controls for quick insights.
Machine Details: Drill down into individual machines to view sensors, bearings, and performance metrics.
Sensor Analysis: Time-series visualizations for individual sensors, helping detect anomalies and trends.
Responsive Design: Clean UI optimized for desktop and tablet usage.
Tech-Forward Stack: Built using Next.js, React, TypeScript, FastAPI, and Supabase for a modern, scalable solution.
Technology Stack
Frontend: Next.js 15, React 19, TypeScript, ECharts
Backend: Python FastAPI with Supabase integration
Database: Supabase (PostgreSQL)
Styling: Custom CSS with responsive design
My Role
I was responsible for frontend development and API integration, creating interactive dashboards, dynamic charts, and detailed machine views. I collaborated on backend API design and ensured smooth communication between frontend components and Supabase database.
Why We Built It
Industrial operations generate massive amounts of sensor data, but visualizing and analyzing this data in real time is often challenging. Machine Analytics Dashboard simplifies this process, providing actionable insights, reducing downtime, and helping teams make data-driven decisions.
Future Enhancements
Add user authentication and role-based access control
Integrate real-time updates with WebSockets
Implement advanced data visualizations and predictive analytics
Enable export of reports in CSV/PDF formats
Optimize fully for mobile and tablet devices
Add unit and integration testing for reliability
Deploy to a production environment for real-world usage
Log in or sign up for Devpost to join the conversation.