{"id":26707223,"url":"https://github.com/machinelearningprodigy/heart-disease-prediction","last_synced_at":"2026-05-04T11:31:28.711Z","repository":{"id":219763849,"uuid":"749840383","full_name":"machinelearningprodigy/Heart-Disease-Prediction","owner":"machinelearningprodigy","description":"Here’s a sHeart Disease Prediction App is a Streamlit-based tool that predicts heart disease risk using an XGBoost model. 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This app utilizes an **XGBoost** model trained on relevant medical features to provide insights into heart disease risk.\n\n## 🚀 Features\n\n- **Interactive UI:** Easy-to-use sliders, radio buttons, and dropdowns for data input.\n- **Machine Learning Model:** Uses a trained **XGBoost** classifier to predict heart disease.\n- **Data Visualizations:** Dynamic **Plotly** charts to understand how different factors influence heart disease.\n- **Responsive Design:** Works seamlessly on both desktop and mobile devices.\n\n## 📊 How It Works\n\n1. Enter your **health details** such as age, gender, blood pressure, cholesterol levels, chest pain type, etc.\n2. Click the **\"Predict\"** button to get an instant prediction.\n3. View the result in a color-coded message box:\n   - 🟢 **No Heart Disease** (Green background)\n   - 🔴 **Heart Disease Present** (Red background)\n4. Explore insights on different **risk factors** through visualizations.\n\n## 🛠 Installation \u0026 Usage\n\nTo run this app locally, follow these steps:\n\n### 1️⃣ Clone the Repository\n\n```bash\ngit clone https://github.com/machinelearningprodigy/Heart-Disease-Prediction.git\ncd Heart-Disease-Prediction\n```\n\n### 2️⃣ Install Dependencies\n\nEnsure you have Python installed, then run:\n\n```bash\npip install -r requirements.txt\n```\n\n### 3️⃣ Run the Streamlit App\n\n```bash\nstreamlit run app.py\n```\n\n## 🏗 Technologies Used\n\n- **Python 3.x**\n- **Streamlit** (for the web interface)\n- **XGBoost** (for machine learning model)\n- **Pandas** (for data processing)\n- **Plotly** (for visualizations)\n\n## 📦 Requirements\n\nThis project requires the following dependencies:\n\n```txt\npandas==2.0.3\nplotly==5.9.0\nstreamlit==1.30.0\nxgboost==2.0.3\n```\n\n## 🎯 Future Enhancements\n\n- ✅ Add more **health parameters** to improve prediction accuracy.\n- ✅ Implement a **database** to store user history.\n- ✅ Enhance **UI design** for a better user experience.\n\n## 🤝 Contributing\n\nWant to improve this project? Feel free to fork, create a new branch, and submit a pull request!\n\n## 📜 License\n\nThis project is open-source and available under the **MIT License**.\n\n---\n\n📧 **Have any questions?** Feel free to reach out or raise an issue in the repository!\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fheart-disease-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningprodigy%2Fheart-disease-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fheart-disease-prediction/lists"}