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SKfaizan-786/Predictive-Maintenance-Using-Embedded-IoT-System

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Our project utilizes Arduino Uno and sensors to collect machine data for predictive maintenance. Through analysis algorithms, we forecast maintenance needs, enabling proactive interventions, minimizing downtime, and optimizing machine performance.

active 2024-04-252024-04-25 (UTC)

Complete coverage26,775 / 26,775 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-04-25 to 2024-04-25. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
SKfaizan-7861100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.