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.
