SASHAKT: A Job Portal for Women using Text Extraction and Text Summarization

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.