{"id":22116177,"url":"https://github.com/blacksujit/face-attendance-system","last_synced_at":"2025-03-24T05:30:51.917Z","repository":{"id":230435367,"uuid":"779359676","full_name":"Blacksujit/Face-Attendance-System","owner":"Blacksujit","description":"This project implements a robust face recognition system for attendance management. It leverages facial recognition algorithms to identify individuals and automatically record their attendance in a CSV file, including the date, time, and name of the person present.","archived":false,"fork":false,"pushed_at":"2024-03-29T17:19:18.000Z","size":6840,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-29T11:22:50.679Z","etag":null,"topics":["appliction","face-recognition","face-recognition-python","implemenatation-science","learning-by-doing","python-project"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Blacksujit.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-03-29T16:50:10.000Z","updated_at":"2024-11-14T16:20:33.000Z","dependencies_parsed_at":null,"dependency_job_id":"ad343ead-8144-4793-ad6b-e1055b05246b","html_url":"https://github.com/Blacksujit/Face-Attendance-System","commit_stats":null,"previous_names":["blacksujit/face-attendance--system","blacksujit/face-attendance-system"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blacksujit%2FFace-Attendance-System","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blacksujit%2FFace-Attendance-System/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blacksujit%2FFace-Attendance-System/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blacksujit%2FFace-Attendance-System/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Blacksujit","download_url":"https://codeload.github.com/Blacksujit/Face-Attendance-System/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245216489,"owners_count":20579170,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["appliction","face-recognition","face-recognition-python","implemenatation-science","learning-by-doing","python-project"],"created_at":"2024-12-01T12:19:44.513Z","updated_at":"2025-03-24T05:30:51.892Z","avatar_url":"https://github.com/Blacksujit.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Face Recognition Attendance System\n\nThis project implements a face recognition attendance system using Python.\nIt recognizes faces captured through a webcam, logs attendance data in a CSV file, and includes information like date, time, and the recognized person's name.\n\n# Libraries Used : \n\n### face_recognition: \nFacial recognition algorithms\n### cv2:\nOpenCV library for computer vision tasks\n### numpy as np:\nNumPy for numerical computations\n### datetime:\nHandling dates and times\n### csv:\nWorking with CSV files\n\n# Installation:\n\n## Prerequisites:\n\n\nPython 3.x (check with python --version or python3 --version)\npip (package installer, usually comes with Python)\n\n# Install Libraries:\n\nOpen your terminal and navigate to your project directory. \nThen, run the following command to install all required libraries:\n\n# Bash :\n\npip install face_recognition , opencv-python,  numpy , datetime , csv\n\n# Clone this repository:\n\n## Bash : \n\ngit clone https://github.com/Blacksujit/Face-Attendance--System.git\n\n# Run the script:\n\n## Bash\npython main.py\n\n\n# License:\n\nMIT\n\n\n\n# SAMPLE IMAGE OF STUDENT PRESENT (You can try different images as given in image folder):\n\n\n ![Screenshot 2024-03-29 224037](https://github.com/Blacksujit/Face-Attendance--System/assets/148805811/10d27419-3f2d-40e6-9670-e0a272d9b271)\n\n\n# CSV Attedndance File or Attendance log (Date, time , and name of student present):\n\n![image](https://github.com/Blacksujit/Face-Attendance--System/assets/148805811/00fdf445-f0e9-4e31-b4bc-70824f497ada)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblacksujit%2Fface-attendance-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblacksujit%2Fface-attendance-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblacksujit%2Fface-attendance-system/lists"}