Upload thick and thin smear images to classify infection, count parasites, and identify Plasmodium species. Every stage is explainable, timestamped, and confidence-weighted.
Trained on 50,000+ expert-annotated blood smear images with 98.5% detection accuracy.
Accurately identifies P. falciparum, vivax, ovale, and malariae with risk assessment.
Complete 3-step analysis in under 10 seconds with GPU-accelerated inference.
Our AI pipeline processes blood smear images through three sequential analysis stages.
Upload thick smear image to determine if malaria parasites are present.
Count parasites and assess infection severity (Low/Medium/High).
Upload thin smear to identify Plasmodium species and risk level.