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Chest Cancer Classification

Problem Statement:

Early Detection of Chest Cancer using Deep Learning With MLflow experiment tracking and DVC.

Challenge:

Chest cancer is a leading cause of death worldwide. Early detection is crucial for successful treatment. Traditional methods of diagnosis can be time-consuming and prone to human error.

Proposed Solution:

This project aims to develop a machine learning model, specifically a Convolutional Neural Network (CNN), for the early detection of chest cancer using chest X-ray images.

Dataset:

Project Architecture:

CCC_Architecture

Demo:

CCC_Demo.webm