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Author(s):

Prof. Madhavi Indalkar | Abhishek Pawar | Raj Nangare | Aadarsh Sharma | Parth Solanke
Keywords:

Generative AI, STEM, Education, Machine Learning, Artificial Intelligence, Large Language Models, Retrieval Augmented Generation, Career Guidance, Personalized Recommendations
Abstract:
This Paper Introduces An AI-powered Platform Designed To Provide Personalized Career Guidance For STEM Professionals And Students. The Platform Addresses The Challenges Of Generalized Career Advice By Leveraging Advanced Algorithms And Psychological Insights To Offer Tailored Career Recommendations. By Analyzing Individual Characteristics Such As Interests, Skills, And Career Goals, The System Creates A Comprehensive Support Mechanism For Navigating The Complex STEM Job Market. Key Features Include Psychometric Assessments, Curated Resources, And Dynamic Recommendation Systems That Help Users Explore Diverse Career Opportunities. The Platform Aims To Bridge The Gap Between Education And Employment By Empowering Individuals To Make Informed Career Decisions, Ultimately Enhancing Their Ability To Thrive In STEM Fields. The Study Outlines The Technical Design Of The Platform, Its Methodology For Personalized Guidance, And Its Potential To Transform Career Development For STEM Professionals. The System Achieved An 82% Satisfaction Accuracy And Successfully Provided Personalized Career Recommendations To Over 100 Test Users During Beta Testing.

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