ABDELKADER ADDA AMAR@Belarar
1
Events attended
1
Submissions made
Algeria
1 year of experience
About me
"A Biological Sciences Researcher specialized in Parasitology and a Mobile App Developer passionate about integrating AI into medical diagnostics. I focus on developing real-time, offline solutions using Computer Vision (YOLOv8/v11) to improve parasite detection accuracy in laboratory settings. Recently recognized as a Top Builder on Lablab.ai for the DAP (Diagnostic AI for Parasitology) project, which achieved high performance in technology application and innovation. I am dedicated to bridging the gap between clinical biology and artificial intelligence to create impactful healthcare tools."
🤓 Latest Submissions
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.**
10 May 2026
