• Avanti Makarand Thale
• Maheshwari Udhayan Subramaniyan
• Mrunal Mahesh Kulkarni
• Pranjali Prashant Polawar
• Savita Kiran Sawant

Over the past five years, there has been a noticeable increase in the Indian recruitment market owing to the escalating demand for cost-effective labor and an uptick in job opportunities. Concurrently, with the growing job market, there's been a corresponding rise in the recruitment industry, adopting a novel approach to hiring by outsourcing the recruitment process to specialized firms dedicated to sourcing the right talent for businesses. As these entities come to the fore, manually sifting through all candidate resumes becomes both time-consuming and challenging, prompting the need for automated resume analysis systems. These systems utilize natural language processing techniques to extract relevant information such as qualifications, skills, education, and experience, subsequently matching them with company requirements to identify optimal candidates for positions. Additionally, the website utilizes APIs to scour the web for current job listings, aligning user resumes with job descriptions. This developed platform offers advantages to both job seekers and HR professionals.

Resume, Transformers, Natural Language Processing, Indian Recruitment Market, Automated Resume Analysis, Job opportunities

"Resume Analyzer Using Transformers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.l536-l545, April-2024, Available :http://www.jetir.org/papers/JETIR2404B71.pdf

"Resume Analyzer Using Transformers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppl536-l545, April-2024, Available at : http://www.jetir.org/papers/JETIR2404B71.pdf