Employeezy- Your Pathway to Streamlined Workforce Management


EOI: 10.11242/viva-tech.01.06.015

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Citation

Yash Sable, Siddhey Raut, Pranay Raut, Prof. Reshma Chaudhari, "Employeezy- Your Pathway to Streamlined Workforce Management", VIVA-IJRI Volume 1, Issue 7, Article COMP_15, pp. 1-5, 2024. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

In the realm of workforce optimization, the development of an Employee Team Recommendation System and a Multiple Resume Analyzer stands as a vital innovation. The Employee Team Recommendation System leverages advanced algorithms and machine learning techniques to analyse the skill sets, strengths, and preferences of individual employees Powered by natural language processing and artificial intelligence, it extracts, categorizes, and evaluates information from numerous resumes, providing recruiters with a holistic understanding of candidates' qualifications. This innovation accelerates the hiring process, ensuring that organizations can make well-informed decisions with efficiency and precision. As organizations grapple with the demands of remote work, shifting skill requirements, and increased competition for talent, this project becomes a linchpin in fostering adaptabilit y and success. Its impact extends beyond HR departments, influencing broader strategic decision-making and strengthening the core of organizational effectiveness. By harnessing the power of data-driven recommendations and streamlined recruitment, this project empowers companies to shape their future, one collaborative team and qualified candidate at a time.

Keywords

Artificial Intelligence, Employee Team Recommendation System, Recruitment Process, Natural language processing, Workforce Optimization.

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