{"id":21164242,"url":"https://github.com/alloc7260/frt-fruit-detector","last_synced_at":"2026-04-11T14:32:54.402Z","repository":{"id":86717641,"uuid":"496989244","full_name":"alloc7260/FRT-fruit-detector","owner":"alloc7260","description":"A WebApp that detect fruits from image. Designed using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service)","archived":false,"fork":false,"pushed_at":"2023-10-26T17:03:27.000Z","size":111,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-12T01:44:05.432Z","etag":null,"topics":["app-service","azure","cognitive-services","css","custom-vision","flask","html","javascript","python"],"latest_commit_sha":null,"homepage":"https://fruit-detector-01.azurewebsites.net/","language":"CSS","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/alloc7260.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}},"created_at":"2022-05-27T12:32:26.000Z","updated_at":"2022-11-30T20:55:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"cf0fab06-85c3-466e-8c24-1a3ceee65066","html_url":"https://github.com/alloc7260/FRT-fruit-detector","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alloc7260/FRT-fruit-detector","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alloc7260%2FFRT-fruit-detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alloc7260%2FFRT-fruit-detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alloc7260%2FFRT-fruit-detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alloc7260%2FFRT-fruit-detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alloc7260","download_url":"https://codeload.github.com/alloc7260/FRT-fruit-detector/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alloc7260%2FFRT-fruit-detector/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31684523,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-11T13:07:20.380Z","status":"ssl_error","status_checked_at":"2026-04-11T13:06:47.903Z","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":["app-service","azure","cognitive-services","css","custom-vision","flask","html","javascript","python"],"created_at":"2024-11-20T14:01:25.485Z","updated_at":"2026-04-11T14:32:54.378Z","avatar_url":"https://github.com/alloc7260.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FRT-fruit-detector\n\n## Fruit Detection Web App\n\n### This is a project for [Future Ready Talent](https://futurereadytalent.in/) Internship.\n### Which is based on Microsoft Azure Cloud Services.\n\nA WebApp that detect fruits from image.\n\nDesigned using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service).\n\nThis Project is only for DEMO purpose so currently only detecting 4 fruits =\u003e Apple, Banana, Green Apple, and Orange.\n\n### How To Run :\n1) Open [URL](https://fruit-detector-01.azurewebsites.net/)\n2) Click Upload Image Button (top left corner)\n3) Select Image and Upload (you can see the image below upload image button)\n4) Click Predict Button (top right corner)\n5) Boom! (detected image can be seen below predict button)\n\nPIP Requirements:\n* azure-cognitiveservices-vision-customvision==3.1.0\n* Flask==2.0.2\n* matplotlib==3.5.1\n* msrest==0.6.21\n* numpy==1.22.1\n* Pillow==9.1.1\n* python-dotenv==0.20.0\n\nBROWSER Recommendations for best view:\n*\tDevice: Desktop\n*\tBrowsers: Chrome, Safari, Opera, Edge, Brave\n*\tResolution: 1920*1080\n*\tOS: Windows, macOS\n*\tZoom: 100%, Fullscreen\n\n## Website : https://fruit-detector-01.azurewebsites.net/\n## YouTube : https://youtu.be/jdPhncs-xSg\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falloc7260%2Ffrt-fruit-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falloc7260%2Ffrt-fruit-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falloc7260%2Ffrt-fruit-detector/lists"}