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Blockchain technology has the potential to revolutionize the food supply chain by increasing transparency and traceability. With blockchain, every step of the food supply chain can be recorded and verified, allowing for greater accountability and trust between suppliers, manufacturers, distributors, retailers, and consumers. This study inclines towards the study of blockchain technology in use with food supply chain management. It also mentions the advantages and barriers to use this technology. To better comprehend the development of pertinent study and shed light on the benefits, issues, and difficulties with blockchain technology, there has been a review of the literature and an logical assessment of the supply chain exploration based on blockchain. Several intermediaries, trust issues, and subpar performance are all factors in traditional supply chain operations. Supply chain operations may be disrupted utilizing blockchain technology to enhance performance, disperse governance, and automate procedures. From the standpoint of literature analysis, this study contributes to our understanding of blockchain applications in supply chain management and offers a roadmap for these applications.

Over the past few months, the exponential increase in COVID-19 cases has been overwhelming for many healthcare systems across the world. With 114 million cases globally as of 28th February 2021, with India itself having 11.1 million cases, it has challenged us with the testing, quarantine, and safety measures. Having limited testing kits, not all patients that have symptoms of respiratory illness can be tested using conventional techniques (RT-PCR). In this project, we propose the use of chest X-Ray to prioritize the selection of patients for further RT-PCR testing. It would also help in identifying patients with a high likelihood of COVID with a false negative RT-PCR who would wish to repeat testing. Further, we propose the utilization of recent AI techniques to detect the COVID-19 patients automatically using X-Ray images, particularly in settings where radiologists aren't available, and help make the proposed testing technology scalable. Keywords: COVID-19, healthcare systems, X-Ray, RT-PCR, patient, AI.