{"id":31967389,"url":"https://github.com/kozuedoingregression/iris-species-classification","last_synced_at":"2025-10-14T18:13:44.953Z","repository":{"id":205865496,"uuid":"715259949","full_name":"kozuedoingregression/Iris-Species-Classification","owner":"kozuedoingregression","description":"Machine Learning Model for Iris Species Classification based on Measurements","archived":false,"fork":false,"pushed_at":"2024-11-18T13:36:36.000Z","size":197,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-17T03:15:38.267Z","etag":null,"topics":["flask","iris-classification","iris-dataset","machine-learning","python3"],"latest_commit_sha":null,"homepage":"https://iris-species-classification-4sfc.onrender.com/","language":"Python","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/kozuedoingregression.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":"2023-11-06T19:33:25.000Z","updated_at":"2024-11-18T13:36:40.000Z","dependencies_parsed_at":"2024-02-12T17:44:52.401Z","dependency_job_id":null,"html_url":"https://github.com/kozuedoingregression/Iris-Species-Classification","commit_stats":null,"previous_names":["kozuedoingregression/oibsip_1"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kozuedoingregression/Iris-Species-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kozuedoingregression%2FIris-Species-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kozuedoingregression%2FIris-Species-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kozuedoingregression%2FIris-Species-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kozuedoingregression%2FIris-Species-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kozuedoingregression","download_url":"https://codeload.github.com/kozuedoingregression/Iris-Species-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kozuedoingregression%2FIris-Species-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279020327,"owners_count":26086864,"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":"2025-10-14T02:00:06.444Z","response_time":60,"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":["flask","iris-classification","iris-dataset","machine-learning","python3"],"created_at":"2025-10-14T18:13:40.410Z","updated_at":"2025-10-14T18:13:44.947Z","avatar_url":"https://github.com/kozuedoingregression.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Iris Species Classification Web App 🌸\n\nA Flask-based web application that predicts Iris flower species using machine learning. The application uses a trained model to classify Iris flowers into three species: Setosa, Versicolor, and Virginica, based on their sepal and petal measurements.\n\n## Features ✨\n\n- Interactive web interface for input measurements\n- Real-time predictions using machine learning\n- Simple and intuitive design\n\n## Demo 🚀\n\n![Application Demo](/demos/demo.gif)\n\n## Installation 🛠️\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/kozuedoingregression/Iris-Species-Classification.git\ncd Iris-Species-Classification\n```\n\n2. Create and activate a virtual environment:\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\Scripts\\activate\n```\n\n3. Install required packages:\n```bash\npip install -r requirements.txt\n```\n\n## Usage 💻\n\n1. Start the Flask application:\n```bash\npython app.py\n```\n\n2. Enter the following measurements in centimeters:\n   - Sepal Length\n   - Sepal Width\n   - Petal Length\n   - Petal Width\n\n3. Click \"Predict\" to see the classification result\n\n4. Run tests\n```bash\npython -m unittest testing.py\n```\n\n## Project Structure 📁\n\n```\niris-classification/\n├── database/\n│   ├── Iris.xls\n├── model/\n│   ├──IrisFlowerClaffification.pkl\n├── templates/\n│   ├── index.html\n├── app.py              # Flask application\n├── requirements.txt\n├── testing.py\n```\n## Model Performance 📊\n\n- The model was trained using scikit-learn's Logistic Regression on the [Iris Dataset](https://www.kaggle.com/datasets/saurabh00007/iriscsv).\n- Accuracy: 97%\n- [NoteBook](https://www.kaggle.com/code/shashanknecrothapa/iris-flower-classification)\n  \n## Technical Details 🔧\n\n- **Framework**: Flask\n- **Machine Learning**: scikit-learn\n- **Model**: Logistic Regression\n- **Dataset**: [Iris Dataset](https://www.kaggle.com/datasets/saurabh00007/iriscsv)\n- **Frontend**: HTML, CSS, JavaScript\n\n\n## Requirements 📋\n\n- Python 3.8+\n- Flask\n- scikit-learn\n- pandas\n- numpy\n\n## Development 👨‍💻\n\nTo contribute to this project:\n\n1. Fork the repository\n2. Create a new branch\n3. Make your changes\n4. Submit a pull request\n\n## Contact 📧\n\nFor questions or feedback, please contact:\n- X: [kozue](https://x.com/0xaa248)\n- GitHub: [kozuedoingregression](https://github.com/kozuedoingregression)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkozuedoingregression%2Firis-species-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkozuedoingregression%2Firis-species-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkozuedoingregression%2Firis-species-classification/lists"}