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@article{186544,
        author = {Pooja Deepak Zample and Dr. Sachin Bere},
        title = {AI Powered Career Reboot System for Women - Personalized Reskilling Pathways},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1050-1053},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186544},
        abstract = {Career interruptions often leave women at a disadvantage when re-entering the workforce, as they struggle with outdated skills, reduced confidence, and rapidly changing industry demands. Conventional training programs rarely provide customized pathways, resulting in a mismatch between acquired skills and actual job opportunities. To address this challenge, this project introduces an AI-powered career reboot system designed exclusively for women seeking to restart their professional journey. The system evaluates an individual’s existing skills and career history, identifies specific gaps in relation to current market requirements, and recommends personalized reskilling pathways along with relevant job opportunities. By leveraging K-Nearest Neighbors (KNN) alongside TF-IDF and cosine similarity, the platform generates these tailored pathways based on similarity to the user’s profile. By delivering personalized guidance rather than generic training, the platform ensures that women gain targeted competencies that directly improve employability. In addition, the system supports inclusivity by empowering women with clear, data-driven career roadmaps, boosting their confidence, and reducing barriers to re-entry. This approach demonstrates how artificial intelligence can be leveraged not only for technical efficiency but also for creating socially impactful solutions that promote gender equality and economic empowerment.},
        keywords = {Artificial Intelligence (AI), Machine Learning (ML), K-Nearest Neighbors (KNN), Natural Language Processing (NLP), TF-IDF Vectorization, Cosine Similarity, Skill Gap Analysis, Career Recommendation System, Data-Driven Decision Making, Personalized Reskilling, Workforce Reintegration, Women Empowerment, Employment Prediction, Human-Centered Computing.},
        month = {November},
        }