Malaria Detection Using Convolutional Neural Networks (CNNs)

Project Overview

This project develops a deep learning model using Convolutional Neural Networks (CNN) to detect malaria from blood cell images. The model aims to provide an efficient diagnostic tool that can be deployed in resource-limited environments.

Features

• Robust CNN Architecture
• Data Augmentation Techniques
• High Accuracy and Performance

Technologies Used

• TensorFlow
• Keras
• OpenCV

Installation

Clone this repository and install the required packages: