Bridging Academia and Industry With Generative AI: A Platform for Dynamic Skill Development and Recruitment

Abstract

The increasing complexity of today’s industrial landscape poses a significant challenge for engineering education, creating a vast gap between the skills acquired by the students, the topics covered in the universities, and the skills required as per current industry demands. As the industry increasingly seeks to hire candidates with technical ability and the required skill set to solve real-world problems, traditional education and recruitment approaches struggle to keep up with the requirements. This misalignment is particularly evident in computer science and engineering, which is prone to rapid transformations, thus demanding an equally dynamic ecosystem. Generative AI (Gen AI), a subset of Artificial Intelligence, shows great promise in bridging the gaps between the three stakeholders: students, universities, and industry. We have leveraged Generative AI to attain the university curricula, align the student skills with the industry, and reshape the hiring and education process, which results in a well-collaborated ecosystem where students, universities, and industry are better aligned to serve each other’s interests.

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