CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students

Key Points

• The research aims to assess the effectiveness of AI-driven career recommendations for engineering students based on their skills.
• Developed a hybrid database
• Utilized a large language model for recommendations
• Evaluated skill matching algorithms
• Enhanced accuracy in career paths suggested for engineering students
• Positive feedback from users on relevancy of recommendations
• Identified key skills sought by employers in the engineering field