{"id":16392282,"url":"https://github.com/imdeepmind/digitrecognition","last_synced_at":"2026-04-28T12:34:40.551Z","repository":{"id":39738467,"uuid":"155983298","full_name":"imdeepmind/DigitRecognition","owner":"imdeepmind","description":"Simple Digit Recognition Web App using CNN","archived":false,"fork":false,"pushed_at":"2022-11-22T03:05:40.000Z","size":34279,"stargazers_count":0,"open_issues_count":8,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-22T22:28:38.445Z","etag":null,"topics":["artificial-intelligence","artificial-neural-networks","classification","computer-vision","convolutional-neural-networks","deep-learning","flask","keras","machine-learning","mnist","python3"],"latest_commit_sha":null,"homepage":"https://imdeepmind.com/DigitRecognition/","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/imdeepmind.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}},"created_at":"2018-11-03T12:57:58.000Z","updated_at":"2019-08-06T14:10:59.000Z","dependencies_parsed_at":"2023-01-22T09:45:15.410Z","dependency_job_id":null,"html_url":"https://github.com/imdeepmind/DigitRecognition","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/imdeepmind/DigitRecognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/imdeepmind%2FDigitRecognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/imdeepmind%2FDigitRecognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/imdeepmind%2FDigitRecognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/imdeepmind%2FDigitRecognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/imdeepmind","download_url":"https://codeload.github.com/imdeepmind/DigitRecognition/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/imdeepmind%2FDigitRecognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32381686,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T11:25:28.583Z","status":"ssl_error","status_checked_at":"2026-04-28T11:25:05.435Z","response_time":56,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["artificial-intelligence","artificial-neural-networks","classification","computer-vision","convolutional-neural-networks","deep-learning","flask","keras","machine-learning","mnist","python3"],"created_at":"2024-10-11T04:49:09.164Z","updated_at":"2026-04-28T12:34:40.529Z","avatar_url":"https://github.com/imdeepmind.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Digit Recognition\n\nDigit Recognition is a simple project that predicts handwritten digits.\n\n![Screenshot from 2019-08-04 20-57-30](https://user-images.githubusercontent.com/34741145/62425763-84f15b00-b6fa-11e9-8c6e-03fa9343a86b.png)\n\n## Branches\nIn this repo, there are 3 branches\n1. master - This branch contains the main web app. I've used Flask for this part of the project.\n2. cnn-keras - This branch contains the main CNN for making the classifier\n3. gh-pages - This branch contains a simple Web app created using Bootstrap \n\n## Programming Languages and Libraries used\nPython, Flask, Keras, Numpy, Pandas, HTML, CSS, JavaScript, jQuery, and Bootstrap\n\n## gh-pages Branch\nThis branch contains a very simple web app. In this app you can draw a simple digit (0-9) and then click upload. It will recognize the digit. \n\nTo run part of the project locally just run the index.html file. \n\n## cnn-keras Branch\nThis branch contains the python code for training a complex CNN. To run this part of the project locally, first install tensorflow and keras, and then extract the mnist_png.tar.gz file. Finally run the cnn.py file.\n\nLink to colab notebook - https://colab.research.google.com/drive/1JOLiEy8uc-8Jr1i2ftbjigjsqFbfYdtQ\n\n## master Branch\nThis branch contains a very simple REST API developed in Flask. This API just uses the model and predict the result.\n\n## Demo\nhttps://imdeepmind.com/DigitRecognition/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fimdeepmind%2Fdigitrecognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fimdeepmind%2Fdigitrecognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fimdeepmind%2Fdigitrecognition/lists"}