Career Finder System using Rule-Based Filtering for University Student Candidates
نویسندگان
چکیده
As a current reality, students are frequently questioned about suitable career path for the future, but they unaware of jobs offered by industries. Moreover, seeking university admission encounter difficulties selecting courses and educational programs, confronted with variety available courses. This research aims to make mobile application obtain employment options appropriate their qualifications because student is often asked future have no idea that appropriate. The methodology implements in this Mobile Application Development Life Cycle (MADLC) four phases which identification, design, development, testing. Visual Studio Code Flutter plugin used develop its function. Firebase get database store all data works as backend function application. finished system was tested accordingly based on functionality listed system. considers students' academic achievements provide personalized recommendations. can assist making decisions pursuing right path, saving them time, reducing risk wrong choices. indicates understanding importance decision-making before continuing studies. In conclusion, seeks enhance ability decision provided through recommendation
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ژورنال
عنوان ژورنال: International Journal of Artificial Intelligence
سال: 2023
ISSN: ['2407-7275', '2686-3251']
DOI: https://doi.org/10.36079/lamintang.ijai-01001.539