Industry
Industrial Tech
Project Case Study
IoT Monitor Grid
An industrial monitoring application for tracking device health, anomaly alerts, and preventative maintenance schedules.
Duration
18 weeks
Platform
Web Dashboard
Overview
Device monitoring dashboard with real-time telemetry, alerts, and maintenance workflows.
Challenge
Operations teams lacked centralized monitoring and could not detect failures early.
Solution
We delivered an event-driven dashboard with PostgreSQL analytics storage and alert automation.
Results
- Improved operational visibility across device fleets
- Faster issue detection and response cycles
- Reliable incident history for maintenance planning
Impact Metrics
- 58% faster anomaly detection
- 27% reduction in unplanned downtime
š§ Technology Detail
Technology Used in This Project
Python
AI & Automation
Flexible language for automation, analytics pipelines, and AI feature integration.
PostgreSQL
Database
Advanced relational database with strong indexing and analytics-friendly querying.
AWS
Cloud
Cloud infrastructure stack for secure deployments, scaling, and high availability.
Docker
DevOps
Containerization platform for consistent environments and reliable deployment pipelines.
React
Frontend
Component-driven frontend framework for fast, dynamic, and interactive user interfaces.
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