{"id":23857555,"url":"https://github.com/amanovishnu/anamoly-detection-using-decision-classifier","last_synced_at":"2025-09-08T05:32:59.104Z","repository":{"id":229407774,"uuid":"776433746","full_name":"amanovishnu/anamoly-detection-using-decision-classifier","owner":"amanovishnu","description":" the kdd 99 anomaly detection application is a flask web app that predicts anomalies in the kdd 99 dataset using a decision tree classifier. it allows users to input features for prediction and offers a user-friendly interface with real-time predictions and low latency.","archived":true,"fork":false,"pushed_at":"2024-03-24T12:40:48.000Z","size":8113,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-22T10:27:08.782Z","etag":null,"topics":["anamoly-detection","data-preprocessing-and-cleaning","decision-tree-classifier","flask-application","kdd-99-dataset","machine-learning","machine-learning-algorithms"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/amanovishnu.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":"2024-03-23T13:53:45.000Z","updated_at":"2024-12-25T10:29:32.000Z","dependencies_parsed_at":null,"dependency_job_id":"ca12e38e-b55d-490b-be3d-8aeea87696ad","html_url":"https://github.com/amanovishnu/anamoly-detection-using-decision-classifier","commit_stats":null,"previous_names":["amanovishnu/anamoly_detection","amanovishnu/anamoly-detection-using-decision-classifier"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/amanovishnu/anamoly-detection-using-decision-classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amanovishnu%2Fanamoly-detection-using-decision-classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amanovishnu%2Fanamoly-detection-using-decision-classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amanovishnu%2Fanamoly-detection-using-decision-classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amanovishnu%2Fanamoly-detection-using-decision-classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amanovishnu","download_url":"https://codeload.github.com/amanovishnu/anamoly-detection-using-decision-classifier/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amanovishnu%2Fanamoly-detection-using-decision-classifier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274136514,"owners_count":25228391,"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","status":"online","status_checked_at":"2025-09-08T02:00:09.813Z","response_time":121,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["anamoly-detection","data-preprocessing-and-cleaning","decision-tree-classifier","flask-application","kdd-99-dataset","machine-learning","machine-learning-algorithms"],"created_at":"2025-01-03T02:57:51.204Z","updated_at":"2025-09-08T05:32:58.628Z","avatar_url":"https://github.com/amanovishnu.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# KDD 99 Anomaly Detection Application\n\nThis is a Flask web application for predicting anomalies in the KDD 99 dataset using Decision Tree Classifier Model.\n\n## Features\n\n- Allows users to input features from the KDD 99 dataset and predict whether an instance is an anomaly or not.\n- Provides a user-friendly interface for interacting with the prediction model.\n- Utilizes a machine learning model trained on the KDD 99 dataset to make predictions.\n- Supports real-time prediction with low latency.\n\n## Installation\n\n1. Clone the repository:\nhttps://github.com/amanovishnu/anamoly_detection.git\n\n\n2. Install the required dependencies:\npip install -r requirements.txt\n\n\n## Usage\n\n1. Navigate to the project directory:\ncd anamoly_detection\n\n2. Run the Flask application:\npython app.py\n\n\n3. Access the application in your web browser at `http://localhost:5000`.\n\n4. Input the required features from the KDD 99 dataset and submit the form to make predictions.\n\n## Deployment\n\nThe application can be deployed using various techniques such as traditional web hosting, containerization (Docker), serverless computing, Platform as a Service (PaaS), or Continuous Integration/Continuous Deployment (CI/CD) pipelines.\n\n## Contributing\n\nContributions are welcome! If you'd like to contribute to this project, please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch (`git checkout -b feature/new-feature`).\n3. Make your changes and commit them (`git commit -am 'Add new feature'`).\n4. Push to the branch (`git push origin feature/new-feature`).\n5. Create a new pull request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgements\n\n- This project utilizes the KDD 99 dataset for anomaly detection.\n- Special thanks to contributors and open-source projects used in this application.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famanovishnu%2Fanamoly-detection-using-decision-classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famanovishnu%2Fanamoly-detection-using-decision-classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famanovishnu%2Fanamoly-detection-using-decision-classifier/lists"}