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TapuSau/
breast-cancer-detection

Name: breast-cancer-detection
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🩺 Breast Cancer Diagnostic System

A Machine Learning-based web application built with Streamlit that predicts whether a breast tumor is Benign or Malignant using clinical measurement data.

📌 Project Overview

This project uses a Decision Tree Classifier trained on breast cancer diagnostic data to help analyze tumor characteristics and predict cancer severity.

The application provides a simple and interactive user interface where users can enter clinical measurements and instantly receive prediction results.

🚀 Features

Interactive Streamlit web interface
Real-time tumor diagnosis prediction
Decision Tree Machine Learning model
User-friendly clinical input form
Instant result visualization
Lightweight and easy to run

🛠️ Technologies Used

Python
Streamlit
Pandas
NumPy
Scikit-learn

📂 Project Structure

text

breast-cancer-diagnostic-system/
│
├── app.py
├── data.csv
├── requirements.txt
├── README.md
└── screenshots/

📊 Dataset Information

The dataset contains breast cancer clinical measurements such as:

Radius
Texture
Perimeter
Area
Smoothness
Compactness
Symmetry
Fractal Dimension

Target Labels:

M → Malignant (Cancerous)
B → Benign (Non-Cancerous)

⚙️ Installation

1️⃣ Clone Repository

git clone https://github.com/YOUR_USERNAME/breast-cancer-diagnostic-system.git

2️⃣ Navigate to Project Folder

cd breast-cancer-diagnostic-system

3️⃣ Install Required Libraries

pip install -r requirements.txt

▶️ Run Application

streamlit run app.py

🖥️ Application Workflow

Enter patient clinical measurements
Click Analyze Results
System predicts:
- Malignant
- Benign

📸 Screenshots

Add application screenshots inside:

screenshots/

Example:

Home Page
Prediction Result
Input Form

📈 Machine Learning Model

Model Used:

Decision Tree Classifier

Reason for selection:

Fast training
Easy interpretability
Good performance on structured datasets

📌 Future Improvements

Add multiple ML algorithms
Improve UI design
Add model accuracy visualization
Deploy on Streamlit Cloud
Add patient report export feature

👨‍💻 Author

Tapabrata Sau

📄 License

This project is licensed under the MIT License.

TapuSau/breast-cancer-detection