Numerous issues have arisen in COVID-19 pandemic in many facets of human life. Numerous investigations have been carried out since the pandemic began more than a two year ago to identify different technical advancements and applications to combat the virus that has taken countless lives. Ongoing spread of the coronavirus infection can be stopped using vaccines. The use of face detection help to each record of the vaccination. In order to combat the pandemic formulation, this study article explores face detection and kafka technology research. Additionally, the value of face detection technology was examined, and the contributions of technology to five key areas were highlighted. These include having a unique ID with each person's face, saving each vaccination dose on a safe cloud platform, and certification. The analytical techniques of machine learning (PCA), Hadoop, Kafka, statistics, and mathematics show the accuracy and sustainability of this work, as well as its speed and time latency. People are the main data sources used to test this study effort. As a result, face detection technology will enable everyone to check his or her vaccination status. A scalable system for COVID-19 immunisation records with certificates is developed in this research study