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Browsing by Author "Sohaib Zahid ( FA20-BSE-027)"

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    CareerSync
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) M. Abubakar Siddique (FA20-BSE-084); Sohaib Zahid ( FA20-BSE-027); Muhammad Hamza (FA20-BSE-009); Akhzar Nazir
    In today's fast-paced job market, the traditional methods of job seeking and recruitment often fall short, leading to inefficiencies and mismatches. "CareerSync" addresses these challenges by introducing an innovative AI-based platform that transforms how job seekers and employers connect. This platform streamlines the job search process, making it more efficient, accurate, and user-friendly. At the heart of "CareerSync" are several key features. The Resume Scanner accurately extracts and presents job seekers’ information, eliminating common errors. Skill Tests, set by potential employers, offer job seekers a way to authentically showcase their abilities. The platform's Dynamic Recommendation Engine uses AI to match job seekers with suitable roles, going beyond basic keyword searches to ensure a better fit. Additionally, an Interactive Interview Prep Chat Tool provides candidates with personalized advice, enhancing their preparation for interviews. Our aim is to redefine the digital recruitment landscape. By implementing these advanced features, "CareerSync" not only simplifies the job search process but also ensures higher quality matches between candidates and employers. The project's success will be measured through improved job match accuracy, user satisfaction, and overall efficiency in the recruitment process. "CareerSync" is more than just a platform; it’s a step towards a more streamlined and effective digital job market.

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