CareerConnect: application driven by data

Abstract

Navigating career opportunities as a student can be a complex and fragmented experience, with job listings, networking platforms, and career development resources scattered across multiple sources. CareerConnect addresses these challenges by providing an integrated platform that aggregates job listings from various portals, enhances resume and cover letter writing through AI-powered tools, and fosters a student-centric networking space. Leveraging web scraping, GPT-based natural language processing, and structured data analysis, CareerConnect automates job discovery, resume evaluation, and peer-to-peer networking, offering a seamless experience tailored for students entering the workforce. The platform features a job aggregation engine that consolidates listings from diverse sources, an AI-driven career toolkit that refines application materials, and a virtual space for students to engage in industry discussions. By streamlining job search processes, enhancing application effectiveness, and fostering meaningful professional connections, CareerConnect seeks to bridge the gap between students and career opportunities, ultimately improving employability and easing the transition from education to employment.