BloodScan leverages cutting-edge AI to analyze blood smear images, offering precise reports on white blood cells (WBC), red blood cells (RBC), platelet counts, and early detection of conditions such as anemia. Its core innovation lies in providing fast, cost-effective diagnostics without the need for expensive lab equipment, enabling healthcare providers in remote, underserved, or war-torn areas to deliver essential services. The platform is designed with scalability in mind, aiming to expand its capabilities beyond anemia detection to other critical blood tests, such as infection markers, blood cancers, and clotting disorders. Future updates may include additional features like real-time analysis of metabolic health, hemoglobin levels, and rare blood condition detection. By integrating with mobile devices and cloud computing, BloodScan ensures accessibility and reliability. This first-of-its-kind solution addresses a global challenge and sets the foundation for a comprehensive AI-driven diagnostic ecosystem that could transform how blood tests are conducted worldwide.