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Data ScienceCompleted2023
Predictive Maintenance Platform
ML platform predicting equipment failures before they occur.
Pythonscikit-learnKafkaTimescaleDBReactDocker
Overview
A predictive analytics system for lab equipment monitoring.
Key Features
1
Time-series anomaly detection
2
Failure prediction in advance
3
Automatic maintenance tickets
4
Equipment health dashboard
5
Failure pattern library
6
CMMS integration
Impact
Reduced maintenance costs and minimized downtime.
45%
Cost Reduction
72hr
Early Warning
99%
Uptime
20+
Machines
Team
Faculty Advisor
D
Dr. Rahel Teshome
Students
B
Binyam TadesseY
Yordanos HaileL
Leul GirmaLive Preview
Open in new tab →https://demo.com/