An Automated Resume Evaluation Tool

Vikrant Sharma; Abhijit Patankar; Nitin Choudhary; Ashirwad Ahale; Namita Debbarma; Abhishek Thannge

An Automated Resume Evaluation Tool

May 2021

Vol-7, Issue-3

Paper ID: 14370

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Resume Template Automation Nodejs Reactjs User Portfolio Job Interview

Abstract

Text recognition is a technique that acknowledges textual content from the paper document in the preferred format (such as .doc or .txt). The text recognition process includes several steps, consisting of pre-processing, segmentation, characteristic extraction, classification, and post-processing. The preprocessing is finished as a binarized photo to transform a grayscale image, and noise is decreased on the input image of the primary operation performed by the aid of removing the noise of the photo signal. The segmentation section is used to segment the photo given online and section each character of the segmentation line. Feature extraction is to compute the traits of the image document. This report describes strategies for changing the textual content of a paper document into a machine-readable format. This paper analyzes and compares the technical challenges, methods, and overall performance of textual content detection and recognition studies in color images. It summarizes the primary issues and lists the factors that need to be taken into consideration whilst addressing them. The prior artwork is classed as step-by-step or included and highlights sub-problems consisting of text localization, verification, segmentation and identification of text.

License

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Author Information

#	Name	Institute / Affiliation
1	Vikrant Sharma	DY Patil College of Engineering, Akurdi, Pune.
2	Abhijit Patankar	DY Patil College of Engineering, Akurdi, Pune.
3	Nitin Choudhary	DY Patil College of Engineering, Akurdi, Pune.
4	Ashirwad Ahale	DY Patil College of Engineering, Akurdi, Pune.
5	Namita Debbarma	DY Patil College of Engineering, Akurdi, Pune.
6	Abhishek Thannge	DY Patil College of Engineering, Akurdi, Pune.

How to Cite

Use the following formats to cite this article in your research.

APA Style

Sharma, Vikrant, Patankar, Abhijit, Choudhary, Nitin, Ahale, Ashirwad, Debbarma, Namita, & Thannge, Abhishek (2021). An Automated Resume Evaluation Tool. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1242-1246.

MLA Style

Sharma, Vikrant, et al. "An Automated Resume Evaluation Tool." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1242-1246.

IEEE Style

Vikrant Sharma, Abhijit Patankar, Nitin Choudhary, Ashirwad Ahale, Namita Debbarma, and Abhishek Thannge, "An Automated Resume Evaluation Tool," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1242-1246, 2021.

Vancouver Style

Sharma Vikrant, Patankar Abhijit, Choudhary Nitin, Ahale Ashirwad, Debbarma Namita, Thannge Abhishek. An Automated Resume Evaluation Tool. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1242-1246.

Harvard Style

Sharma, Vikrant, Patankar, Abhijit, Choudhary, Nitin, Ahale, Ashirwad, Debbarma, Namita, & Thannge, Abhishek (2021) 'An Automated Resume Evaluation Tool', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1242-1246.

Chicago Style

Sharma, Vikrant, et al. "An Automated Resume Evaluation Tool." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1242-1246.

Turabian Style

Sharma, Vikrant, et al. "An Automated Resume Evaluation Tool." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1242-1246.