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Abstract Undergraduate level research engagements can aid the students in learning about the current ongoing innovations and shape them to become an efficient workforce for the future. However, it is poorly managed globally, including in Bangladesh, because it is difficult to track due to the scattered nature of this information. InNeed Intelligent Cloud, along with the University of North Carolina Chapel Hill and National Science Foundation(NSF) of USA, aims to tackle this issue through the BLUMER research project. Based on the researchers’ research study, we created a searchable database with a web-based search interface that searches through the awarded projects data of the National Science Foundation (NSF) website, which is stored in the AWS cloud database. It also provides an analytical overview of the undergraduate research data through an analytical dashboard that provides numerical insights into the current research landscape around theUSA. The aim of the system is to guide the students, researchers, and supervisors in their desired research interests. By establishing an evaluation metric for understanding undergraduate level research production, in the future, we can build upon this and focus on the commercialization of this project whichwould enable global outreach and connection. This will help create an iterative process thatwould promote undergraduate research among students at an early stage and build a technologically enabled and industry-focused workforce. So, it can aid in students’ theoretical and applied skills development and create an efficient workforce that can lead the 4th industrial revolution in various fields such as Artificial Intelligence, Robotics and Automation, IoT and Smart Agriculture, Data Analytics, Cloud Computing, etc.