SHINKEN V1: AI POWERED, MLTRAINED WEB-BASED PLATFORM FOR MICROBIOLOGY RESEARCH AND EDUCATION

Abstract :

In the field of microbiology, a significant challenge facing researchers is the time-consuming and labor-intensive process of conducting experiments and analyzing data. There is a lack of a centralized platform for researchers and students to collaborate and communicate, leading to a fragmented and disconnected research community. While reading and attending lectures provide valuable learning opportunities, hands-on experiences in a laboratory setting are crucial for developing practical skills in microbiology. Shinken addresses these challenges by providing an AI-powered next-generation automated microbiology lab assistant that streamlines laboratory procedures, provides a centralized repository of up-to-date research articles, educational resources, and laboratory protocols, and offers interactive educational tools and simulations for hands-on learning experiences in a virtual laboratory setting. Shinken utilizes machine learning algorithms to streamline laboratory procedures, freeing up researchers' time to focus on high-level tasks. The platform also provides a centralized repository of up-to-date research articles, educational resources, and laboratory protocols, as well as interactive educational tools and simulations for hands-on learning experiences in a virtual laboratory setting. Shinken serves as a platform for the microbiology research community, promoting collaboration and communication among researchers and Students.