{"id":26644908,"url":"https://github.com/architj6/cancerguardian","last_synced_at":"2026-05-01T01:32:04.540Z","repository":{"id":284204471,"uuid":"954082620","full_name":"ArchitJ6/CancerGuardian","owner":"ArchitJ6","description":"CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀","archived":false,"fork":false,"pushed_at":"2025-03-24T17:23:47.000Z","size":64,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-24T18:27:46.199Z","etag":null,"topics":["binary-classification","breast-cancer-prediction","classification-models","data-science","data-visualization","deep-learning","healthcare","healthcare-ai","machine-learning","medical-ai","medical-diagnostics","predictive-analytics","python","streamlit","supervised-learning"],"latest_commit_sha":null,"homepage":"https://cancerguardian-architj6.streamlit.app/","language":"Python","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/ArchitJ6.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":"2025-03-24T14:35:57.000Z","updated_at":"2025-03-24T17:23:50.000Z","dependencies_parsed_at":"2025-03-24T18:27:53.986Z","dependency_job_id":"6b9d0a06-83c3-46ad-80e8-a196c10ea872","html_url":"https://github.com/ArchitJ6/CancerGuardian","commit_stats":null,"previous_names":["architj6/cancerguardian"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchitJ6%2FCancerGuardian","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchitJ6%2FCancerGuardian/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchitJ6%2FCancerGuardian/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchitJ6%2FCancerGuardian/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ArchitJ6","download_url":"https://codeload.github.com/ArchitJ6/CancerGuardian/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245352277,"owners_count":20601120,"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":["binary-classification","breast-cancer-prediction","classification-models","data-science","data-visualization","deep-learning","healthcare","healthcare-ai","machine-learning","medical-ai","medical-diagnostics","predictive-analytics","python","streamlit","supervised-learning"],"created_at":"2025-03-24T21:20:52.090Z","updated_at":"2026-05-01T01:32:04.503Z","avatar_url":"https://github.com/ArchitJ6.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CancerGuardian 🎗️🔬\n\n🚀 **CancerGuardian** is a machine learning-powered web application designed to assist in breast cancer diagnosis using the **Breast Cancer Wisconsin (Diagnostic) Dataset**. This tool predicts whether a tumor is **malignant** or **benign**, helping in early detection and decision-making.\n\n---\n\n## 🌟 Features\n✅ Breast cancer classification using machine learning 📊  \n✅ Trained on the **Breast Cancer Wisconsin (Diagnostic) Dataset** 🏥  \n✅ Standardized input scaling with `StandardScaler` 🔄  \n✅ Interactive web interface built with `streamlit` 🎨  \n✅ Easy-to-run setup with pre-trained model 🎯  \n\n---\n\n## 📂 Project Structure\n```\nCancerGuardian/\n│── assets/\n│   └── style.css              # CSS for UI styling\n│\n│── dataset/\n│   ├── data.csv               # Original dataset\n│\n│── model/\n│   ├── data_cleaned.csv       # Processed dataset\n│   ├── model.pkl              # Trained ML model\n│   ├── scaler.pkl             # StandardScaler for input normalization\n│   ├── train.py               # Script for training the model\n│\n│── app.py                     # Main application script\n```\n\n---\n\n## 📊 Dataset Information\nThis project utilizes the **Breast Cancer Wisconsin (Diagnostic) Dataset**, available on Kaggle:\n🔗 [Dataset Link](https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data)\n\nThe dataset contains **features extracted from digitized images of breast mass** and helps classify tumors into:\n- **Malignant (cancerous) 🛑**\n- **Benign (non-cancerous) ✅**\n\n---\n\n## 🛠️ Installation \u0026 Usage\n### 1️⃣ Clone the Repository\n```bash\ngit clone https://github.com/ArchitJ6/CancerGuardian.git\ncd CancerGuardian\n```\n### 2️⃣ Install Dependencies\n```bash\npip install -r requirements.txt\n```\n### 3️⃣ Run the Application\n```bash\nstreamlit run app.py\n```\n\n---\n\n## 🏗️ How It Works\n1️⃣ User inputs tumor-related features via the web interface 🖥️\n\n2️⃣ Input is **standardized** using `StandardScaler` 📏\n\n3️⃣ Pre-trained `model.pkl` predicts whether the tumor is **malignant** or **benign** 🧬\n\n4️⃣ Result is displayed with an intuitive UI 🎨\n\n---\n\n## 🤝 Contributing\nContributions are welcome! Feel free to fork the repository, make improvements, and submit a pull request. 🚀\n\n---\n\n## 📜 License\nThis project is licensed under the [MIT License](LICENSE). 📜\n\n---\n\n## 🌟 Show Your Support\nIf you found this project helpful, ⭐️ **star the repository** and share it with others!\n\nHappy coding! 💙","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farchitj6%2Fcancerguardian","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farchitj6%2Fcancerguardian","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farchitj6%2Fcancerguardian/lists"}