{"id":26707218,"url":"https://github.com/machinelearningprodigy/cancer-prone-detection","last_synced_at":"2026-02-26T08:20:27.433Z","repository":{"id":219767059,"uuid":"749845312","full_name":"machinelearningprodigy/Cancer-Prone-Detection","owner":"machinelearningprodigy","description":"A simple Cancer Risk Prediction App built with Streamlit and Machine Learning. 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This app predicts the risk of cancer based on various health factors. 🚑🎗️\n\n## ✨ Features\n- **Interactive UI** with sliders for input 🖱️\n- **Machine Learning Model** for prediction 🤖\n- **Risk Levels**: Low 🟢, Medium 🟡, High 🔴\n- **Color-coded results** for better understanding 🎨\n\n## 🛠️ Technologies Used\n- **Python** 🐍\n- **Streamlit** 🎈\n- **Pandas** 🏗️\n- **Pickle (Model Loading)** 🏦\n\n## 🚀 How to Run\n### 1️⃣ Install Dependencies\n```sh\npip install streamlit pandas pickle-mixin\n```\n\n### 2️⃣ Run the App\n```sh\nstreamlit run app.py\n```\n\n## 📊 Input Features\n- **Age** 👶👴\n- **Air Pollution Exposure** 🌫️\n- **Alcohol Consumption** 🍷\n- **Dust Allergy** 🤧\n- **Genetic Risk** 🧬\n- **Chronic Lung Disease** 😷\n- **Obesity** ⚖️\n- **Smoking** 🚬\n\n## 🎯 Prediction\nThe model predicts cancer risk based on user inputs and displays the result with a **color-coded message**:\n- 🟢 **Low Risk**\n- 🟡 **Medium Risk**\n- 🔴 **High Risk**\n\n## 📌 Future Improvements\n- ✅ Improve model accuracy\n- ✅ Add more features\n- ✅ Enhance UI/UX\n\n## 👨‍💻 Developed By\n[Machine Learning Prodigy](https://github.com/machinelearningprodigy)\n\n## 📜 License\nThis project is open-source under the **MIT License**.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fcancer-prone-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningprodigy%2Fcancer-prone-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fcancer-prone-detection/lists"}