{"id":19019375,"url":"https://github.com/l-a-r-t/qoat-frontend","last_synced_at":"2026-04-29T16:02:13.071Z","repository":{"id":63639524,"uuid":"565470996","full_name":"L-a-r-t/qoat-frontend","owner":"L-a-r-t","description":"QOAT is on online platform for creating, passing and discussing online quizzes. 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The platform allows for collaborative correction of quizzes. This is a fullstack personal project (wireframed, designed \u0026 developped by myself) that has been used in a real environment.\n\n## Features\n\n- Creating a quiz\n- Search quizzes (by name/category)\n- Attempts history and statistics\n- Filter questions by type during an attempt \u0026 on statistics\n- Discussion forum for each quiz\n- Possibility for collaborative correction of questions\n- KaTeX support\n\n## Technologies used\n\n- Typescript\n- Nextjs\n- Redux \u0026 RTK query\n- TailwindCSS \u0026 HeadlessUI\n- Firebase (auth, database, cloud functions)\n- Algolia\n\n## Main challenges\n\nAmong other things, implementing an auth process that's as frictionless as possible from an UX standpoint required a lot of prototyping \u0026 incremental upgrades. This was also my first time with Algolia and building a custom UI for it's instant search API had me spend quite a lot of time in the docs.\n\n\u003cimg width=\"960\" alt=\"Capture d’écran 2022-12-12 162648\" src=\"https://user-images.githubusercontent.com/104721818/207087119-26b6fed9-e324-46c8-a9f4-fa841f92afbe.png\"\u003e\n\u003cimg width=\"947\" alt=\"Capture d’écran 2022-12-11 185220\" src=\"https://user-images.githubusercontent.com/104721818/207087075-87b11d12-0470-47b8-aea9-18638e105091.png\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fl-a-r-t%2Fqoat-frontend","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fl-a-r-t%2Fqoat-frontend","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fl-a-r-t%2Fqoat-frontend/lists"}