• Prof.Deveshree Wankhede
• Nadar Manikandan
• Nair Vihaan
• Singh Aniket Ganesh

The Resume Analyzer and Filtering System presented in this study is an advanced computational tool designed to streamline the recruitment process by automating the analysis and evaluation of job applicants' resumes. The system leverages cutting-edge NLP techniques, data mining algorithms, and machine learning models to extract pertinent information from resumes, enabling efficient candidate selection. Resume Analyzer and Filtering employs a multi-faceted approach to resume analysis, encompassing the extraction of skills, qualifications, experience, and educational background. Additionally, it assesses the relevance of this information to specific job requirements, ensuring a precise match between candidates and positions. The system's graphical prediction capabilities further enhance its utility, allowing for long-term projections based on historical data and market trends.

Resume Analysis, Recruitment Process, NLP, Data Mining, Machine Learning, Skills Extraction.

"Resume Analyser: Analysing and Filtering System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.48-54, July-2024, Available :http://www.jetir.org/papers/JETIRGK06006.pdf

"Resume Analyser: Analysing and Filtering System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. pp48-54, July-2024, Available at : http://www.jetir.org/papers/JETIRGK06006.pdf