DAP: AI-Powered Parasitology System
DAP is an innovative project that bridges Biological Sciences and Artificial Intelligence. We developed a mobile application using the YOLOv8 model, achieving 80% accuracy in detecting various parasites, including Leishmania and Malaria, directly from microscopic images. Our solution is designed for remote and rural areas where internet access is limited and expert microscopists are scarce. The app works entirely offline to provide immediate results.Furthermore, the system captures GPS coordinates for each positive diagnosis. Once a connection is established, this data is synchronized to a central dashboard. This creates a "Big Data" epidemiological map, allowing health organizations to monitor disease outbreaks in real-time and distribute medical resources efficiently. Our goal is to digitize parasitology and save lives through early detection and precise mapping.**
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