Industrial IoT Monitoring & Dashboard SystemDavoad Eivazkhani
I build real-time industrial monitoring systems that connect to your machines, collect data, detect anomalies, and give you a live dashboard to see everything at a glance.
What you get:
A complete IoT monitoring platform custom-built for your industrial equipment — from sensor data collection to ML-powered anomaly detection and real-time WebSocket dashboards.
My process:
Discovery — I map your equipment, sensors, and data points to understand what needs monitoring
Backend Development — I build the data pipeline with Django, PostgreSQL, and Modbus/PLC integration
ML Anomaly Detection — I train a model on your normal operating data to catch problems before they happen
Dashboard — Real-time WebSocket dashboard showing live metrics, alerts, and historical trends
Deployment & Handoff — Docker deployment, documentation, and team training
What I've built in this space:
Autoclave sterilization monitoring with ML anomaly detection and 3D Digital Twin
Hospital patient vital signs monitoring with configurable alerts
Industrial equipment predictive maintenance systems
Every system ships production-ready with Docker, API docs, alert configuration, and role-based access control.
FAQs
Example work
Starting at$1,500
Duration2 weeks
Tags
Django
Docker
PostgreSQL
Python
WebSocket
IoT
Machine Learning
Service provided by
Davoad Eivazkhani Ashburn, USA
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- Rating
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Industrial IoT Monitoring & Dashboard SystemDavoad Eivazkhani
Starting at$1,500
Duration2 weeks
Tags
Django
Docker
PostgreSQL
Python
WebSocket
IoT
Machine Learning
I build real-time industrial monitoring systems that connect to your machines, collect data, detect anomalies, and give you a live dashboard to see everything at a glance.
What you get:
A complete IoT monitoring platform custom-built for your industrial equipment — from sensor data collection to ML-powered anomaly detection and real-time WebSocket dashboards.
My process:
Discovery — I map your equipment, sensors, and data points to understand what needs monitoring
Backend Development — I build the data pipeline with Django, PostgreSQL, and Modbus/PLC integration
ML Anomaly Detection — I train a model on your normal operating data to catch problems before they happen
Dashboard — Real-time WebSocket dashboard showing live metrics, alerts, and historical trends
Deployment & Handoff — Docker deployment, documentation, and team training
What I've built in this space:
Autoclave sterilization monitoring with ML anomaly detection and 3D Digital Twin
Hospital patient vital signs monitoring with configurable alerts
Industrial equipment predictive maintenance systems
Every system ships production-ready with Docker, API docs, alert configuration, and role-based access control.
FAQs
Example work
$1,500