Abstract:
In the domain of health monitoring, there is a dire need for accurate and innovative
solutions that can optimize the efficiency and make the medical procedures cost
inefficient. Our project introduces an innovative approach by incorporating Artificial
Intelligence (AI) and Embedded Systems to assemble a Complete Blood Count (CBC) kit.
Utilizing advanced machine learning algorithms to swiftly and effectively analyze real time blood samples making it one of its kind. Personalized health assessment, early
anomaly detection, vitals trend analysis and empowering users with an accessible health
management tool are our value proposition. Integration of Raspberry Pi 5 and camera
verifies its maneuverability and accessibility. Comprehensive report generation via web
application, fulfilling the purpose of save, review and research. This advanced technology
ensures sustainability for diverse healthcare environment, facilitating accuracy and cost
efficient solutions to crucial health monitoring practices. Cloud computation covering for
the resources cost to run this project, provides safe storage and computational power to
tackle this tool’s need in divergent environments. This project represents a compelling
contribution to the growth of personalized diagnostics and wellness management.
