{"id":15159409,"url":"https://github.com/saadmairaj/digit-recognition","last_synced_at":"2026-01-21T03:01:40.974Z","repository":{"id":240749020,"uuid":"276334664","full_name":"Saadmairaj/Digit-Recognition","owner":"Saadmairaj","description":"This is a Machine Learning Model based on the Keras algorithm that can Recognise Hand-Written digits from this model and can also Train more.","archived":false,"fork":false,"pushed_at":"2020-07-02T13:41:58.000Z","size":18078,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-21T11:08:07.646Z","etag":null,"topics":["digit-recognition-application","keras-tensorflow","machine-learning","python","tensorflow","tensorflow-examples","tkinter-gui"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Saadmairaj.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"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":"2020-07-01T09:27:48.000Z","updated_at":"2020-09-04T11:29:07.000Z","dependencies_parsed_at":"2024-05-20T19:39:25.462Z","dependency_job_id":null,"html_url":"https://github.com/Saadmairaj/Digit-Recognition","commit_stats":null,"previous_names":["saadmairaj/digit-recognition"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Saadmairaj/Digit-Recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saadmairaj%2FDigit-Recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saadmairaj%2FDigit-Recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saadmairaj%2FDigit-Recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saadmairaj%2FDigit-Recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Saadmairaj","download_url":"https://codeload.github.com/Saadmairaj/Digit-Recognition/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saadmairaj%2FDigit-Recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28624341,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-21T02:47:06.670Z","status":"ssl_error","status_checked_at":"2026-01-21T02:45:44.886Z","response_time":86,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["digit-recognition-application","keras-tensorflow","machine-learning","python","tensorflow","tensorflow-examples","tkinter-gui"],"created_at":"2024-09-26T21:21:20.332Z","updated_at":"2026-01-21T03:01:40.957Z","avatar_url":"https://github.com/Saadmairaj.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Digit Recognition\n\nThis was my first machine learning project that predicts hand written digits using tensorflow mnist dataset. The app is developed using the Tkinter library as frontend and tensorflow as backend. The model can be trained more with new date by drawing digits on the canvas and checking the train option.\n\n\u003cp align=\"center\"\u003e\u003cimg width=\"412\" alt=\"Screenshot 2020-07-01 at 3 10 42 PM\" src=\"https://user-images.githubusercontent.com/46227224/86230490-bf83a200-bbae-11ea-9c63-48d8e87a46cc.png\"\u003e\n\u003c/p\u003e\n\n## How do I use?\n\n- *Draw the digit on the canvas of Tkinter.*\n- *Press \u003ckbd\u003eENTER\u003c/kbd\u003e / \u003ckbd\u003eRETURN\u003c/kbd\u003e key to predict.*\n- *Press \u003ckbd\u003eSHIFT\u003c/kbd\u003e + \u003ckbd\u003eENTER\u003c/kbd\u003e / \u003ckbd\u003eSHIFT\u003c/kbd\u003e + \u003ckbd\u003eRETURN\u003c/kbd\u003e key or the Right Mouse Click to clear the canvas.*\n\n## Contributing\n\nWhen contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method of this repository before making a change.\n\nPlease make sure to update tests as appropriate.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaadmairaj%2Fdigit-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaadmairaj%2Fdigit-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaadmairaj%2Fdigit-recognition/lists"}