{"id":17967174,"url":"https://github.com/abdullahashfaqvirk/SMS-Spam-Detection","last_synced_at":"2025-08-16T15:31:53.293Z","repository":{"id":259608197,"uuid":"878496974","full_name":"abdullahashfaq-ds/SMS-Spam-Detection","owner":"abdullahashfaq-ds","description":"A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.","archived":false,"fork":false,"pushed_at":"2024-10-26T19:53:07.000Z","size":1318,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-17T00:13:39.555Z","etag":null,"topics":["css3","docker","flask","html5","javascript","matplotlib","nltk","numpy","pandas","python","scikit-learn","seaborn","tailwindcss","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/abdullahashfaq-ds.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":"2024-10-25T13:56:35.000Z","updated_at":"2024-10-26T20:11:04.000Z","dependencies_parsed_at":"2024-10-26T21:49:21.258Z","dependency_job_id":"c183a4e7-e489-4a8d-96b3-2b33e1c2068a","html_url":"https://github.com/abdullahashfaq-ds/SMS-Spam-Detection","commit_stats":null,"previous_names":["abdullahashfaq-ds/sms-spam-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdullahashfaq-ds%2FSMS-Spam-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdullahashfaq-ds%2FSMS-Spam-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdullahashfaq-ds%2FSMS-Spam-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdullahashfaq-ds%2FSMS-Spam-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abdullahashfaq-ds","download_url":"https://codeload.github.com/abdullahashfaq-ds/SMS-Spam-Detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230043145,"owners_count":18163966,"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":["css3","docker","flask","html5","javascript","matplotlib","nltk","numpy","pandas","python","scikit-learn","seaborn","tailwindcss","xgboost"],"created_at":"2024-10-29T14:04:25.414Z","updated_at":"2025-08-16T15:31:47.873Z","avatar_url":"https://github.com/abdullahashfaq-ds.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SMS Spam Detection\n\nThe SMS Spam Detection application is a machine learning tool designed to classify SMS messages as either spam or not spam. It utilizes a pre-trained model to analyze messages and identify potentially harmful content. Developed using the Flask web framework, the application features an interactive interface for real-time message classification.\n\n**Dataset**: [SMS Spam Collection Dataset](https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset)\n\n\n## Technologies Used\n\n- **Backend**: Flask (Python)\n- **Frontend**: HTML5, CSS3, TailwindCSS, JavaScript\n- **Containerization**: Docker, Docker Compose\n- **Machine Learning**: Scikit-learn, XGBoost, NLTK, Seaborn, Matplotlib, Pandas, NumPy \n\n## Demo\n\n![Spam Message Demo](./data/images/spam.png)\n\n## Installation\n\n### Prerequisites\n\nEnsure the following are installed on your local machine:\n- Python 3.8+\n- Docker and Docker Compose (optional for containerized deployment)\n\n### Clone the Repository\n\n```bash\ngit clone git@github.com:abdullahashfaq-ds/SMS-Spam-Detection.git\ncd SMS-Spam-Detection\n```\n\n### Method 01: Virtual Environment Setup\n\n```bash\npython -m venv venv\n# On Windows, use:\nvenv\\Scripts\\activate\n# On Linux/MacOS, use:\nsource venv/bin/activate\n# To set up the production environment:\npip install -r requirements.txt\n# To set up the development environment:\npip install -r requirements.dev.txt\n# To run the project:\npython app.py\n```\n\n### Method 02: Docker Setup\n\nFor a containerized environment, build and run the container:\n\n```bash\ndocker build -t spam-detection .  \ndocker run -p 5000:5000 spam-detection \n```\n\nAccess the application at `http://localhost:5000`\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.\n\n## Contact\n\nFor inquiries or support, please open an issue on GitHub or contact [abdullahashfaq.ds@gmail.com](mailto:abdullahashfaq.ds@gmail.com).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdullahashfaqvirk%2FSMS-Spam-Detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdullahashfaqvirk%2FSMS-Spam-Detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdullahashfaqvirk%2FSMS-Spam-Detection/lists"}