{"id":20749024,"url":"https://github.com/hunterkalinoski/doodle-detector","last_synced_at":"2026-04-11T09:01:44.630Z","repository":{"id":169133319,"uuid":"563170087","full_name":"hunterkalinoski/doodle-detector","owner":"hunterkalinoski","description":"A website which hosts a neural network trained to predict your drawings.","archived":false,"fork":false,"pushed_at":"2023-03-06T23:19:23.000Z","size":5819,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-11T13:52:36.930Z","etag":null,"topics":["nextjs","react","tensorflow"],"latest_commit_sha":null,"homepage":"http://doodle-detector.vercel.app","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/hunterkalinoski.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":"2022-11-08T03:35:35.000Z","updated_at":"2023-03-21T20:45:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"87d880d2-38d9-4d78-80c5-d327a10d73da","html_url":"https://github.com/hunterkalinoski/doodle-detector","commit_stats":null,"previous_names":["hunterkalinoski/doodle-detector"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hunterkalinoski/doodle-detector","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunterkalinoski%2Fdoodle-detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunterkalinoski%2Fdoodle-detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunterkalinoski%2Fdoodle-detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunterkalinoski%2Fdoodle-detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hunterkalinoski","download_url":"https://codeload.github.com/hunterkalinoski/doodle-detector/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunterkalinoski%2Fdoodle-detector/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31674624,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-11T08:18:19.405Z","status":"ssl_error","status_checked_at":"2026-04-11T08:17:08.892Z","response_time":54,"last_error":"SSL_read: 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":["nextjs","react","tensorflow"],"created_at":"2024-11-17T08:20:34.163Z","updated_at":"2026-04-11T09:01:44.577Z","avatar_url":"https://github.com/hunterkalinoski.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Doodle Detector\n\nA website that predicts your drawings!  \nInspired by Google's [Quick,Draw!](https://quickdraw.withgoogle.com/), and Sebastian Lague's [Neural Network video](https://www.youtube.com/watch?v=hfMk-kjRv4c\u0026t)\n\nThere are two underlying neural networks.  These were created with TensorFlow and Keras (Python).  \nThe notebook for the MNIST NN can be found in the CNN - Augmented directory.  \nThe other notebook was not uploaded because it required a large local datasource, but is very similar.\n\n\nOne model was trained on the MNIST dataset, and can predict digits (0-9).  \nThe other model was trained on Google's Quick,Draw! dataset, and can predict the following shapes:  \n- circle\n- star\n- triangle\n- umbrella\n- basketball\n- fish\n- house\n- cat\n\n\nSimply visit [the website](https://doodle-detector.vercel.app/), choose which model you want to use, and begin drawing!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunterkalinoski%2Fdoodle-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhunterkalinoski%2Fdoodle-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunterkalinoski%2Fdoodle-detector/lists"}