Malaria Detection System

Our Malaria Detection System is an AI-powered tool designed to automatically detect malaria parasites in blood smear microscopy images. This system is particularly valuable for regions with limited access to trained pathologists or in high-volume screening scenarios.

The system uses advanced computer vision and deep learning techniques to identify the characteristic appearance of malaria parasites within red blood cells. By automating this detection process, we can significantly increase the speed and scale of malaria screening while maintaining high accuracy.

Key features:

- Automated detection of Plasmodium parasites in thin and thick blood smears

- Quantification of parasite density to assess infection severity

- Low computational requirements for deployment in resource-limited settings

- Offline functionality for areas with limited connectivity

The system is being trained on a diverse dataset of blood smear images from different geographic regions to ensure robust performance across various malaria strains and imaging conditions.