Skill Sync — Final Year Project

Skill Sync

Team

TA Taha Wahid AH Ahsan Tariq AR Arsal Kamran

Retrieval-Augmented Generation (RAG) Vector Database Semantic Search Large Language Models (LLMs) Knowledge Grounding on Contextual Career Guidance Job Market Analytics Skill Gap Identification High-Dimensional Embeddings Automated Resume Optimization

Abstract

As technology advances, job market requirements evolve rapidly, creating a gap between educational outcomes and employability. This project aims to develop a platform that leverages AI and machine learning to predict job market trends and guide students in building relevant skills for the future. By analyzing and forecasting job market needs, recommending relevant courses, and offering tailored resume assistance, this platform will empower students to align their skills with predicted future demands. The AI models will use historical and current job market data to provide insights on future trends across various industries and countries, enabling students to strategically plan their education. The goal is to provide students with accurate, data-driven insights to navigate the job market effectively and maximize their employability.