{"id":17490280,"url":"https://github.com/vignesh1507/facepulse","last_synced_at":"2026-01-23T00:28:47.386Z","repository":{"id":258330268,"uuid":"861004791","full_name":"vignesh1507/FacePulse","owner":"vignesh1507","description":"FacePulse is a cutting-edge facial recognition-based attendance system designed to streamline and automate attendance tracking. Using AI-powered technology, FacePulse captures, registers, and verifies users' identities in real-time, providing a seamless and efficient solution for modern organizations.","archived":false,"fork":false,"pushed_at":"2025-04-19T04:28:58.000Z","size":641,"stargazers_count":2,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-22T19:06:29.455Z","etag":null,"topics":["ai","opencv","python","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vignesh1507.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","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":"2024-09-21T18:35:06.000Z","updated_at":"2025-04-19T04:29:02.000Z","dependencies_parsed_at":"2024-10-27T14:57:07.018Z","dependency_job_id":null,"html_url":"https://github.com/vignesh1507/FacePulse","commit_stats":{"total_commits":19,"total_committers":1,"mean_commits":19.0,"dds":0.0,"last_synced_commit":"80139e39139c02cd2a65a4068a56087c9fd48f1d"},"previous_names":["vignesh1507/facepulse"],"tags_count":0,"template":true,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vignesh1507%2FFacePulse","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vignesh1507%2FFacePulse/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vignesh1507%2FFacePulse/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vignesh1507%2FFacePulse/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vignesh1507","download_url":"https://codeload.github.com/vignesh1507/FacePulse/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250306637,"owners_count":21408926,"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":["ai","opencv","python","streamlit"],"created_at":"2024-10-19T06:06:51.385Z","updated_at":"2026-01-23T00:28:47.371Z","avatar_url":"https://github.com/vignesh1507.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## FacePulse: Facial Recognition-Based Attendance System \n\nFacePulse is an AI-driven facial recognition-based attendance system developed using Python language, Streamlit application, and OpenCV. This system allows users to register with their ID and name, capture their images via webcam, train a machine learning model to recognise faces, and track attendance in real time.  \n\n## Features \n \n- **User Registration**: Capture images through webcam and associate them with a user ID and name.\n   \n- **Model Training**: Train a facial recognition model on the captured images. \n   \n- **Real-Time Attendance**: Detect and track attendance using the trained model.\n  \n- **Streamlit User Interface (UI)**: Easy-to-use web interface for registration, model training, and attendance tracking. \n  \n\n## Technologies Used\n\n- **Python**: Core language for the application.\n  \n- **Streamlit**: This is for building the interactive web interface.\n  \n- **OpenCV**: For image capture and processing.\n  \n- **Pyngrok**: For tunnelling the local application to the web.\n  \n- **Facial Recognition Libraries**: These are for identifying and verifying registered faces.\n  \n\n## Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/vignesh1507/FacePulse.git\n   cd FacePulse\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvignesh1507%2Ffacepulse","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvignesh1507%2Ffacepulse","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvignesh1507%2Ffacepulse/lists"}