ISSN:2582-5208

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Paper Key : IRJ************977
Author: Isha Dilip Kandhare,Atharva Harish Kulkarni ,Rasika Vikas Mozar,Sanskruti Balasaheb More ,Neeta Shirsat
Date Published: 10 Apr 2025
Abstract
Women empowerment is still an essential requirement in the rapidly changing world. Financial independence is the necessary foundation to develop actual women empowerment. We propose a job-hunting platform to offer women-centric opportunities and address constraints such as difficulties in securing positions in their fields of interest, challenges in finding jobs in preferred locations, limited opportunities for job switching, and flexibility in work hours. It also provides features such as voice-based interactions, support for women with diverse educational qualifications, and women-friendly policies. Methodologies used- natural language processing (NLP), machine learning (ML), and content-based filtering. It provides personalized job recommendations based on individual preferences. The system aims to create a meaningful social impact by providing equal opportunities to women and bridging the gap in employment.
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