{"id":22443428,"url":"https://github.com/jalpa015/ml-webapp","last_synced_at":"2026-05-05T21:38:11.860Z","repository":{"id":104058837,"uuid":"527828487","full_name":"jalpa015/ml-webApp","owner":"jalpa015","description":"Practicing Real time ML model prediction in Web app using Tensorflow.js","archived":false,"fork":false,"pushed_at":"2022-08-27T13:55:32.000Z","size":17426,"stargazers_count":0,"open_issues_count":3,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-27T10:24:13.010Z","etag":null,"topics":["deep-learning","deploy","machine-learning","neural-network","python","tensorflow","tensorflowjs"],"latest_commit_sha":null,"homepage":"https://digiibot.herokuapp.com/","language":"Jupyter Notebook","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/jalpa015.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,"publiccode":null,"codemeta":null}},"created_at":"2022-08-23T04:11:59.000Z","updated_at":"2024-01-06T00:46:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"5c1feffc-9677-4c5b-b580-0789cacfed10","html_url":"https://github.com/jalpa015/ml-webApp","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/jalpa015/ml-webApp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jalpa015%2Fml-webApp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jalpa015%2Fml-webApp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jalpa015%2Fml-webApp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jalpa015%2Fml-webApp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jalpa015","download_url":"https://codeload.github.com/jalpa015/ml-webApp/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jalpa015%2Fml-webApp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32669433,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-05T11:29:49.557Z","status":"ssl_error","status_checked_at":"2026-05-05T11:29:48.587Z","response_time":54,"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":["deep-learning","deploy","machine-learning","neural-network","python","tensorflow","tensorflowjs"],"created_at":"2024-12-06T02:28:23.450Z","updated_at":"2026-05-05T21:38:11.822Z","avatar_url":"https://github.com/jalpa015.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Machine Learning predicitons in Web app\n\n![Heroku](https://pyheroku-badge.herokuapp.com/?app=mnist-ml-web-app)\n[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)\n\nWorking on approach to use Tensorflow.js library for real time predictions in an web app.\n\nMNIST is a popular dataset of images of handwritten digits [link](http://yann.lecun.com/exdb/mnist/)\n\nThere are various models to predict Handwritten Digits. This project uses a Convolution 2D model to predict the digits. \nThe dataset has various images to train the model. If this model is deployed on a web application then the trained ML model can be used to predict digits written on browser. \n\n### Key Features about the project -\n    \n    * Uses Conv2D model to predict handwritten digits\n    * Deployed ML model to Node.js WebApp\n    * Integrated model predictions in JavaScript code\n    * Developed CI pipeline for Master branch\n\n### Getting Started - \n\nTo get started with the project follow the below metioned steps - \n\n    * This project requires Node.js.\n    * In the terminal of project folder, type npm install to install the dependencies.\n    * Once the dependencies are installed, type npm start to run the project locally.\n    * You can see the app on localhost:4545/ in your browser.\n\n#### Editing the ML model\n\n    * To edit the ML model you will need pip to install the Python packages. \n    * Once pip is installed in your computer, install the libraries.\n    * Now the Jupyter Notebook can be edited.  \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalpa015%2Fml-webapp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjalpa015%2Fml-webapp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalpa015%2Fml-webapp/lists"}