AI-Driven Career Pathways: Decoding Past Employment Trends and Company Expectations for Targeted Skill Growth.
[1]Anagha P Nadig, [2]Harish D, [3]Hithesh Y, [4]Kalavathi H N, [5]Shruthi BS
[1] Information and Science and Engineering, Malnad College of Engineering, Hassan-573202, India
[2] Information and Science and Engineering, Malnad College of Engineering, Hassan-573202, India
[3] Information and Science and Engineering, Malnad College of Engineering, Hassan-573202, India
[4] Information and Science and Engineering, Malnad College of Engineering, Hassan-573202, India
[5] Assistant Professor, Information and Science and Engineering, Malnad College of Engineering, Hassan-573202, India
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Abstract - The gap between the skills engineering students acquire and the evolving demands of the job market poses significant challenges for both students and academic institutions. Traditional career guidance methods often fail to provide personalized, real-time insights into job trends and employer expectations. This review explores the AI-Powered Career and Placement Portal, designed specifically for (MCE) students, which uses AI to deliver personalized career recommendations, analyse job market data, and provide real-time updates on job opportunities. The portal integrates machine learning algorithms to match student’s profiles with industry requirements, while placement officers can share company-specific job details. By offering dynamic, data-driven insights, the portal aims to improve skill alignment, enhance placement success, and bridge the gap between academia and industry. This paper reviews the potential of AI in career guidance systems and suggests future improvements to further expand its capabilities and reach.
Key Words: AI-Powered Career Guidance, Placement Portal, Job Market Analysis, Machine Learning in Career Services, Skill Alignment, Real-Time Job Updates , Personalized Career Recommendations ,Academia-Industry Gap, Data-Driven Insights.
