{"id":20703493,"url":"https://github.com/frederickroman/readgauge","last_synced_at":"2026-04-13T08:31:21.842Z","repository":{"id":112471948,"uuid":"428146273","full_name":"FrederickRoman/Readgauge","owner":"FrederickRoman","description":"Reading ease scoring web app. It calculates the US school reading level of a text client-side using neural networks.","archived":false,"fork":false,"pushed_at":"2022-02-18T05:53:53.000Z","size":2949,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-25T07:25:21.509Z","etag":null,"topics":["pwa","reading-comprehension","tensorflow","tensorflow-node","tensorflow2","tensorflowjs","text-classification","text-processing","web-workers"],"latest_commit_sha":null,"homepage":"https://readscale.netlify.app","language":"TypeScript","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/FrederickRoman.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2021-11-15T06:22:16.000Z","updated_at":"2023-09-14T10:06:43.000Z","dependencies_parsed_at":"2023-05-15T06:30:15.577Z","dependency_job_id":null,"html_url":"https://github.com/FrederickRoman/Readgauge","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/FrederickRoman/Readgauge","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrederickRoman%2FReadgauge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrederickRoman%2FReadgauge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrederickRoman%2FReadgauge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrederickRoman%2FReadgauge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FrederickRoman","download_url":"https://codeload.github.com/FrederickRoman/Readgauge/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrederickRoman%2FReadgauge/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31746101,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T06:26:45.479Z","status":"ssl_error","status_checked_at":"2026-04-13T06:26:44.645Z","response_time":93,"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":["pwa","reading-comprehension","tensorflow","tensorflow-node","tensorflow2","tensorflowjs","text-classification","text-processing","web-workers"],"created_at":"2024-11-17T01:08:13.369Z","updated_at":"2026-04-13T08:31:21.827Z","avatar_url":"https://github.com/FrederickRoman.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Readguage\n\n\u003cdiv style=\"display:flex; flex-direction:column;\"\u003e\u003cimg src=\"https://github.com/FrederickRoman/Readgauge/blob/main/public/android-chrome-512x512.png\" alt=\"Readgauge logo\" height=\"320\"/\u003e\n\u003c/div\u003e\n\n### AI-powered reading scoring app. \n\n#### It calculates the US school reading level of a text.\n\n#### It uses Neuro-Flesch which is a neural version of the flesch scoring system created for this app.\n\n#### It's private because all calculations get done in-brower and nothing gets ever sent to a server.\n\n\u003cdiv style=\"display:flex;\"\u003e\n\u003cimg src=\"https://github.com/FrederickRoman/Readgauge/blob/main/docs/mockups/Home_iPhone%205_SE.png\" height=\"540\" alt=\"Readgauge home page phone mockup\"/\u003e  \n\u003cimg src=\"https://github.com/FrederickRoman/Readgauge/blob/main/docs/mockups/Home_Nest%20Hub.png\" width=\"640\" alt=\"Readgauge home page Nest Hub mockup\"/\u003e\n\u003c/div\u003e\n\n## Live website\n\nSee [Readgauge website](https://readscale.netlify.app).\n\n## Main libraries used in this project\n\n- React.js (TS)\n- Tensorflow \n- - TS - to run the neural network model client-side\n- - Node - for model design (research models in python in [other repo](https://github.com/FrederickRoman/syllable-count-predictor); rewritten chosen model in node in this repo under [/ml](https://github.com/FrederickRoman/Readgauge/tree/main/ml))\n- MUI \n- Chart.js\n- moo.js - to tokenize the input text client-side.\n\n## Project setup\n\n```\nyarn install\n```\n\n### Compiles and hot-reloads for client development\n\n```\nyarn start\n```\n\n### Compiles and minifies for production\n\n```\nyarn build\n```\n\n### Launches the test runner in the interactive watch mode.\nIt runs unit tests for the main elements, and integration tests for scoring test cases. \n```\nyarn test\n```\n\n### Retrains the neural network\nIt reruns the entire process from data cleaning trough training to evaluation of the model. \n```\nnode /ml/train\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrederickroman%2Freadgauge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffrederickroman%2Freadgauge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrederickroman%2Freadgauge/lists"}