Breast Cancer Prediction Web App

📌 Introduction

This project is a Breast Cancer Prediction Web App that utilizes machine learning to assist in diagnosing breast cancer. The model takes 29 important features as input and predicts whether the tumor is Benign (Non-Cancerous) or Malignant (Cancerous). Users can either manually enter features or upload a medical report (PDF) for automatic extraction.

🔍 Approach

• The project is built using Flask as the backend.
• Machine Learning Model: A trained model (breast_cancer_model.pkl) is used for prediction.
• PDF Processing: Extracts required features from uploaded PDF reports using PyMuPDF (fitz).
• Frontend: Bootstrap and jQuery are used to provide a user-friendly interface.

💾 How to Download and Run the Project

1️⃣ Clone the Repository

git clone https://github.com/prashant-g0/breast-cancer-detection-using-machine-learning.git
cd Breast-Cancer-app

2️⃣ Install Required Libraries

Before running the project, install the necessary dependencies:

pip install -r requirements.txt

OR

📦 Pre-Downloads (Required Libraries)

Ensure you have the following libraries installed:

pip install flask joblib numpy fitz opencv-python pandas

3️⃣ Run the Flask App

python app.py

4️⃣ Open in Browser

Go to: http://127.0.0.1:5000 in your web browser.

👨‍💻 Author

Prashant Gupta
🔗 LinkedIn
📷 Instagram

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