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.
- Robust CNN Architecture
- Data Augmentation Techniques
- High Accuracy and Performance
- TensorFlow
- Keras
- OpenCV
Clone this repository and install the required packages: