Breast Cancer Classification

This project is a Flask-based REST API that allows users to predict breast cancer diagnoses using multiple machine learning models. Users can send input data manually or upload a .json file, and receive predictions from models

including:

Support Vector Machine (SVM)

Decision Tree

Logistic Regression

Naive Bayes

K-Nearest Neighbors (KNN)

The API is fully functional, supports CORS for frontend integration, and is built to handle both direct input and file uploads for flexible usage. Ideal for integrating into medical or research applications that require fast and reliable ML-based diagnosis.