Employment Recommendation System Using Predictive Analysis and Secured Through Blockchain Technology

Abstract

Electronics engineering offers a wide variety of fields, specializations, and works in the industry that the graduates can pursue. They sometimes lead to job mismatches as their abilities and perspective are not align to the qualifications and skills that a certain job requires. In this project, an employment decision support system was developed to help the graduates foresee the most suited work positions when entering the industry as an electronics engineer through the evaluation of their licensure or board exam results; self-assessment results which includes their abilities, hobbies, and attitude towards work that are based on job descriptions; and academic grades results from first year to fifth year where the four main subjects of the Philippine electronics engineer licensure examination that is Mathematics, General Engineering and Applied Sciences, Electronics Engineering, and Electronics Systems and Technologies will serve as its classifications. The result is encrypted in Blockchain technology that will be used as a security feature to ensure the credibility and reliability of the whole evaluation.