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@article{192581,
        author = {Mahira J Vasa and Swanandi A Thakur and Gaurav S Gaikwad and Nishit S Thakur and Asavari Salve},
        title = {Mumbai121: An Automated, Inclusive Recruitment Platform for the Mumbai Metropolitan Region},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3366-3371},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192581},
        abstract = {Mumbai121 addresses critical employment challenges in the Mumbai Metropolitan Region through an intelligent, automated recruitment platform. The system integrates Flask-based RESTful APIs, MongoDB with GridFS storage, machine learning-based candidate ranking using Random Forest regression and TF-IDF vectorization, and Progressive Web Application architecture with comprehensive accessibility features. The platform serves two underserved populations—fresh graduates and Persons with Benchmark Disabilities (PwBD)—while providing a zero-cost solution for small businesses and startups. This paper presents the complete system architecture, implementation methodology, machine learning pipeline, and evaluation results demonstrating fairness, accessibility compliance, and operational efficiency.},
        keywords = {Automated recruitment, Candidate ranking algorithms, Inclusive hiring systems, Machine learning in HR, MongoDB change streams, Progressive web applications, Random Forest regression, Round-robin distribution, TF-IDF vectorization, WCAG accessibility compliance.},
        month = {February},
        }