• Aboli Yuvaraj Kerle
• Dr. D. V. Kodavade

Owing to increased urbanization, there has been a considerable influx of jobs. As a result, a vast organization has emerged, requiring an equally great number of diverse personnel to do their jobs. Organizations promote job offers in order to attract talent and helpful staff. Most of the time, the company receives an excessive amount of job applications due to strong demand and inadequate supply of positions, as well as increasing unemployment. Companies have a strong incentive to choose the individual with the greatest personality. It is a difficult effort to select from the enormous number of resumes or curriculum vitae received. As a result, the construction of an effective and trustworthy automated personality evaluation system is required. For the objective of a CV content extraction system, a few ways have been investigated. The majority of these methods have a number of flaws that must be resolved. As a result, the relevant research on the CV data extraction methodology are reviewed in depth in this paper. This enables us to effectively implement our strategy, which will be detailed in future publications.

"A review on information extraction from document using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c89-c92, May-2024, Available :http://www.jetir.org/papers/JETIR2405212.pdf

"A review on information extraction from document using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc89-c92, May-2024, Available at : http://www.jetir.org/papers/JETIR2405212.pdf