Skip to content

RohanDas28/Python-Face-Recognition-Attendance-System

View on GitHub ↗Related repositories →

This is a face recognition-based attendance system developed in Python. The system utilizes the OpenCV library along with other modules to recognize faces and mark attendance in a CSV file.

active 2023-09-292025-03-01 (UTC)

Complete coverage26,702 / 26,702 hourly files (100%) · 2 absent upstream2023-08-152026-08-31 (UTC)
Events
21
Pushes
2
Pull requests
7
Issues
0
Stars
4
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 520 days from 2023-09-29 to 2025-03-01. Pushes: 2 total, peak 1 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 4 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
dependabot[bot]5041
RohanDas285230

Recent activity

Latest issues, pull requests and releases

  • Pull request#5dependabot[bot]2024-08-31 00:17
  • Pull request#4dependabot[bot]2024-08-30 23:43
  • Pull request#3RohanDas282024-04-04 06:42
  • Pull request#3dependabot[bot]2024-04-03 16:19
  • Pull request#2RohanDas282024-01-23 05:47
  • Pull request#2dependabot[bot]2024-01-23 03:18
  • Issue comment#1dependabot[bot]2023-10-04 08:48
    Bump pillow from 9.5.0 to 10.0.1
  • Pull request#1RohanDas282023-10-04 08:48

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.