SASHAKT

A Job Portal for Women using Text Extraction and Text Summarization

Authors

  • Jaspreet Kaur Department of Computer Science & Engineering, JSS Academy of Technical Education, Noida, Uttar Pradesh, India 201301
  • Pragati Verma Department of Computer Science & Engineering, JSS Academy of Technical Education, Noida, Uttar Pradesh, India 201301
  • Sanyuktaa Bajoria Department of Computer Science & Engineering, JSS Academy of Technical Education, Noida, Uttar Pradesh, India 201301

DOI:

https://doi.org/10.57159/gadl.jcmm.1.2.22022

Keywords:

Text summarization, Text extraction, Text localization, Text detection, Natural language processing

Abstract

SASHAKT is a job portal designed specifically for women, utilizing text extraction and summarization techniques to provide a user-friendly and efficient job search experience. The portal extracts relevant information from job postings and summarizes it, allowing women to quickly identify job opportunities that align with their skills and qualifications. Additionally, the portal utilizes text classification algorithms to identify and filter out job postings that may be discriminatory or biased toward women. This study presents the development and implementation of SASHAKT, including a detailed description of the text extraction and summarization techniques used and the text classification algorithms implemented to detect discriminatory language. The study also presents the results of user testing and evaluations of SASHAKT, highlighting its effectiveness in improving the job search experience for women. The results of this study demonstrate that SASHAKT can help increase women's representation in the workforce by providing them with a more efficient way to find job opportunities that align with their skills and qualifications. Furthermore, the study also highlights the potential for similar text-based approaches to be applied to other areas of job search and career development for underrepresented groups such as people with disabilities and minority groups. Overall, the study concludes that SASHAKT is an innovative solution that addresses the need for a more inclusive job search experience for women by utilizing natural language processing techniques.

Author Biography

Jaspreet Kaur, Department of Computer Science & Engineering, JSS Academy of Technical Education, Noida, Uttar Pradesh, India 201301

Ms. Jaspreet Kaur is a seasoned academic with 17 years of teaching and 6 years of research experience. She is currently serving as a faculty member in the Department of Computer Science & Engineering at JSS Academy of Technical Education. Ms. Kaur obtained her B.E. degree in Electrical Engineering from Vaish College of Engineering, Rohtak under MDU, Rohtak, followed by an M.Tech. degree in Computer Science & Engineering from Ch Devi Lal College, Sirsa under Kurukshetra University. She is also pursuing a Ph.D. degree from AKTU, Lucknow. Ms. Kaur has contributed to the field of software engineering as an author of a book chapter titled "Introduction to Software Standards" in the book "Instant Approach to Software Testing" published by BPB Publications in 2019.

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Published

31-12-2022

How to Cite

[1]
J. Kaur, P. Verma, and S. Bajoria, “SASHAKT: A Job Portal for Women using Text Extraction and Text Summarization”, J. Comput. Mech. Manag, vol. 1, no. 2, pp. 14–21, Dec. 2022.

Issue

Section

Original Articles

Categories

Received 2022-10-06
Accepted 2022-12-17
Published 2022-12-31