"The rapid advancements in computer vision and edge computing have catalyzed the development of innovative retail solutions. This research presents a smart shopping cart system leveraging Raspberry Pi and computer vision technologies to streamline the shopping experience by automating item detection and checkout processes. Using a Raspberry Pi, This system employs a camera module and machine learning algorithms to recognize products in real-time. Experimental results demonstrate the feasibility and accuracy of this system in a controlled retail environment. The implementation addresses common challenges such as lighting variability and computational constraints, paving the way for scalable and cost-effective retail automation solutions."

"The need for blood and organ donations has been an integral part of healthcare for decades. Historical records highlight the development of blood transfusions and organ transplantation techniques, which have saved countless lives. With the rapid advancements in medical science, there has been a growing demand for blood, organs, and related components such as platelets and white cells for use in surgeries and treatments. In light of this, hospitals are increasingly seeking effective and efficient ways to manage donor information, inventory, and requests in real time. The modern-day challenge lies in efficiently managing these medical resources in a manner that bridges the gap between hospitals and donors. This project focuses on developing a mobile-based Blood and Organ Donor Inventory Management System, which aims to address these challenges. By utilizing the Android platform, this system offers a user-friendly interface for hospitals to post real-time requests for blood or organ donations. It also enables donors to easily search and find donation opportunities nearby, ensuring a streamlined and responsive process that is critical in emergency scenarios. The core architecture of this system leverages mobile development IDEs such as Android Studio, along with various APIs to facilitate real-time interaction between donors and hospitals. The app ensures data security and privacy for donors while providing hospitals with the functionality to search for and request specific blood types or organs as needed. The backend is designed to store, update, and retrieve inventory data efficiently, ensuring that hospitals always have access to accurate information on available donors. This system was developed with hospitals, clinics, and donors in mind, enhancing their ability to communicate and share vital information quickly. The testing and implementation phases of this application demonstrated its potential to be scaled further, improving the availability of critical medical resources. By providing a platform where hospitals can manage their donor inventory, this application serves as a crucial tool for enhancing the medical donation and supply chain."