{"id":15704479,"url":"https://github.com/ksdkamesh99/mnist","last_synced_at":"2026-02-11T01:02:38.551Z","repository":{"id":39728584,"uuid":"258187286","full_name":"ksdkamesh99/MNIST","owner":"ksdkamesh99","description":null,"archived":false,"fork":false,"pushed_at":"2022-12-08T09:38:40.000Z","size":1270,"stargazers_count":3,"open_issues_count":10,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-18T03:06:49.932Z","etag":null,"topics":["classification","digits","machine-learning","mnist"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ksdkamesh99.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-04-23T11:54:52.000Z","updated_at":"2023-07-17T14:31:54.000Z","dependencies_parsed_at":"2023-01-24T21:35:13.310Z","dependency_job_id":null,"html_url":"https://github.com/ksdkamesh99/MNIST","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ksdkamesh99/MNIST","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ksdkamesh99%2FMNIST","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ksdkamesh99%2FMNIST/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ksdkamesh99%2FMNIST/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ksdkamesh99%2FMNIST/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ksdkamesh99","download_url":"https://codeload.github.com/ksdkamesh99/MNIST/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ksdkamesh99%2FMNIST/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268844815,"owners_count":24316055,"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","status":"online","status_checked_at":"2025-08-05T02:00:12.334Z","response_time":2576,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["classification","digits","machine-learning","mnist"],"created_at":"2024-10-03T20:12:03.451Z","updated_at":"2026-02-11T01:02:33.511Z","avatar_url":"https://github.com/ksdkamesh99.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MNIST-A Digit Classifier\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/ksdkamesh99/MNIST\"\u003e\n    \u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/2/27/MnistExamples.png\" alt=\"Logo\" width=\"450\" height=\"250\"\u003e\n  \u003c/a\u003e\n\n## 📌 Introduction\n\nThis Machine Learning Web Application utilizes a Two-Layered Convolutional Neural Network to process the images in the notepad provided in the application.  \n\nOur Model performs fairly well with an accuracy of 99.26%. This provides a handy tool to utilize the power of Machine Learning and Artificial Intelligence in Categorical Classification Problems where time and accuracy is the paramount objective of classification.\n\n\n## 🎯 About The Dataset  \nThe MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.\nIt is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.\n\n\n\n\n## 🏁 Technology Stack\n\n* [Flask](https://github.com/pallets/flask)\n* [HTML](https://www.w3.org/TR/html52/)\n* [CSS](https://developer.mozilla.org/en-US/docs/Web/CSS)\n* [Bootstrap](https://getbootstrap.com/)\n* [Tensorflow](https://www.tensorflow.org/)\n* [Keras](http://keras.io/)\n\n## 🏃‍♂️ Local Installation\n\n1. Drop a ⭐ on the Github Repository. \n2. Clone the Repo by going to your local Git Client and pushing in the command: \n\n```sh\nhttps://github.com/ksdkamesh99/MNIST.git\n```\n\n3. Install the Packages: \n```sh\npip install -r requirements.txt\n```\n\n4. At last, push in the command:\n```sh\npython app.py\n```\n\n5. Go to ` http://127.0.0.1:5000/` and enjoy the application.\n\n\n## 📜 LICENSE\n\n[MIT](https://github.com/ksdkamesh99/MNIST/blob/master/LICENSE.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksdkamesh99%2Fmnist","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fksdkamesh99%2Fmnist","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksdkamesh99%2Fmnist/lists"}