{"id":20830810,"url":"https://github.com/pvscreations/ams_backend_django","last_synced_at":"2026-05-05T00:39:53.649Z","repository":{"id":184378583,"uuid":"663783942","full_name":"pvscreations/AMS_backend_django","owner":"pvscreations","description":"Attendance Management using Face Recognition backend","archived":false,"fork":false,"pushed_at":"2024-04-07T13:53:05.000Z","size":55393,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-01-18T19:40:17.128Z","etag":null,"topics":["computer-vision","django","ec2","face-recognition","mysql","openssl","serverless-computing"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","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/pvscreations.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}},"created_at":"2023-07-08T05:05:45.000Z","updated_at":"2024-03-31T06:36:16.000Z","dependencies_parsed_at":"2024-04-07T14:52:07.661Z","dependency_job_id":null,"html_url":"https://github.com/pvscreations/AMS_backend_django","commit_stats":null,"previous_names":["knowverse/minor","pvscreations/ams_backend_django"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pvscreations%2FAMS_backend_django","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pvscreations%2FAMS_backend_django/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pvscreations%2FAMS_backend_django/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pvscreations%2FAMS_backend_django/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pvscreations","download_url":"https://codeload.github.com/pvscreations/AMS_backend_django/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243179889,"owners_count":20249187,"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":["computer-vision","django","ec2","face-recognition","mysql","openssl","serverless-computing"],"created_at":"2024-11-17T23:25:54.064Z","updated_at":"2026-05-05T00:39:48.629Z","avatar_url":"https://github.com/pvscreations.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003eAttendance Management using Face Recognition\u003c/h1\u003e\n\u003cp\u003e  \u003cb\u003eAttendance system using face\nrecognition is a procedure of recognizing students by using\nface biostatistics based on the high definition monitoring\nand other computer technologies.\u003c/b\u003e The development of this\nsystem is aimed to accomplish digitization of the traditional\nsystem of taking attendance by calling names and\nmaintaining pen-paper records. \u003c/p\u003e\n\u003cp\u003eOur approach is using the world’s simplest face recognition library built using dlib’s state-of-the-art face recognition built with deep learning. This face_recognition model has high accuracy ensuring low false-positive detection , efficiency and robust in nature. After face recognition attendance reports will be generated and stored in excel format. \u003c/p\u003e\n\u003cimg src=\"flowchart.png\"\u003e\n\u003ch1\u003eDescription\u003c/h1\u003e\n\u003cp\u003e This system used pretrained fine turing model face_recognition and recognized faces by comparing face encodings \u003c/p\u003e\n\n\u003cdetails\u003e\n  \u003csummary\u003e\u003ch1\u003e This is how directory structure looks like\u003c/h1\u003e\u003c/summary\u003e\n  \u003ccode\u003e├───ams\n│   ├───migrations\n│   │   └───__pycache__\n│   ├───templates\n│   │   └───static\n│   │       ├───css\n│   │       ├───js\n│   │       └───media\n│   └───__pycache__\n├───models\n├───pictures\n│   ├───N18\n│   │   └───cse\n│   │       ├───cse1\n│   │       └───cse2\n│   │           └───Sample\n│   ├───N19\n│   │   └───cse\n│   │       └───cse1\n│   └───N20\n│       └───cse\n│           ├───cse1\n│           │   ├───N181022\n│           │   ├───N200037\n│           │   ├───N200377\n│           │   ├───N200381│           │   \n│           │   ├───N201064\n│           │   └───N201070\n│           └───cse2\n│               ├───N170976\n│               ├───N180789\n│               ├───N180825\n│               └───N181022\n├───project2\n│   └───__pycache__\n└───static\n    ├───admin\n    │   ├───css\n    │   │   └───vendor\n    │   │       └───select2\n    │   ├───img\n    │   │   └───gis\n    │   └───js\n    │       ├───admin\n    │       └───vendor\n    │           ├───jquery\n    │           ├───select2\n    │           │   └───i18n\n    │           └───xregexp\n    ├───css\n    ├───js\n    └───media\u003c/code\u003e\n\u003c/details\u003e\n\u003ch1\u003eSeeting up application\u003c/h1\u003e\n\u003cp\u003e\n  \u003cli\u003estart the mysql server first\u003c/li\u003e\n  \u003cli\u003especify the mysql port and credentials of mysql in project2\u003esettings.py files as shown in the below figure\n    \n\u003cimg src=\"https://github.com/knowverse/MINOR/assets/108925522/3ed37f3d-c48a-498d-883d-1a83b7436daf\"/\u003e\u003c/li\u003e\n  \u003cli\u003eNow got to the build directory and open command prompt and then enter \u003cbr\u003e\n    \u003ccode\u003epython manage.py runsslserver --cert cert.pem --key key.pem localhost:3000\u003c/code\u003e\n    \n  \u003c/li\u003e\n  \u003cli\u003eopen the address in the browser and browse for localhost:3000\u003c/li\u003e\n  \n  \n\u003c/p\u003e\n\u003ch1\u003eReferences\u003c/h1\u003e\nKnow More About The AMS \n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://drive.google.com/file/d/19H9eQcFepn7br-3Xrph3rZdQvUhv4VoS/view?usp=drivesdk\"\u003eDocumentation (Technical Details)\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://drive.google.com/file/d/1edLgPpHAH3xXXX-mTyO3mEtW9MHnhsft/view\"\u003eVideo (Promo)\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/pvscreations/AMS_frontend_react\"\u003eFrontend React Source Code\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpvscreations%2Fams_backend_django","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpvscreations%2Fams_backend_django","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpvscreations%2Fams_backend_django/lists"}