{"id":26635962,"url":"https://github.com/zohaib-cheema/defacto","last_synced_at":"2026-04-07T16:32:19.941Z","repository":{"id":283781601,"uuid":"952903546","full_name":"zohaib-cheema/DeFacto","owner":"zohaib-cheema","description":"DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.","archived":false,"fork":false,"pushed_at":"2025-03-22T05:54:19.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-22T06:25:59.569Z","etag":null,"topics":["flask","git","keras","numpy","pandas","r","scikit-learn","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"R","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/zohaib-cheema.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":"2025-03-22T05:38:47.000Z","updated_at":"2025-03-22T05:58:03.000Z","dependencies_parsed_at":"2025-03-22T06:37:02.657Z","dependency_job_id":null,"html_url":"https://github.com/zohaib-cheema/DeFacto","commit_stats":null,"previous_names":["zohaib-cheema/defacto"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zohaib-cheema%2FDeFacto","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zohaib-cheema%2FDeFacto/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zohaib-cheema%2FDeFacto/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zohaib-cheema%2FDeFacto/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zohaib-cheema","download_url":"https://codeload.github.com/zohaib-cheema/DeFacto/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245304871,"owners_count":20593626,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["flask","git","keras","numpy","pandas","r","scikit-learn","tensorflow"],"created_at":"2025-03-24T16:15:45.916Z","updated_at":"2026-04-07T16:32:19.901Z","avatar_url":"https://github.com/zohaib-cheema.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DeFacto: Fake News Detection System\n\n**DeFacto** is a machine learning-based tool that classifies fake news articles using a hybrid model built with **Scikit-learn**, **TensorFlow**, and **Keras**. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.\n\n## Features\n- **Fake News Detection:** Classifies news articles and social media posts as real or fake based on the content.\n- **Model Training:** Built using **Scikit-learn**, **TensorFlow**, and **Keras** for high accuracy in detection.\n- **Data Preprocessing:** Data is preprocessed and features are engineered using **R**, **Pandas**, and **NumPy**, optimizing model performance and reliability.\n- **Real-Time Classification:** Users can input articles or posts for immediate classification.\n- **User-Friendly Interface:** Simple interface for quick and easy analysis of content.\n\n## Tech Stack\n- **Machine Learning Libraries:** **Scikit-learn**, **TensorFlow**, **Keras** for model building and training.\n- **Data Science Tools:** **R**, **Pandas**, **NumPy** for feature engineering and preprocessing.\n- **Frontend (optional):** Flask (if you want to create a web interface for the app).\n- **Version Control:** Git for collaboration and code management.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzohaib-cheema%2Fdefacto","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzohaib-cheema%2Fdefacto","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzohaib-cheema%2Fdefacto/lists"}