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@article{197702,
        author = {Rushika Pate and Ayush Dodia},
        title = {A Smart Mobile Campus Placement System with Explainable AI and Auto-Apply Facility},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6368-6373},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197702},
        abstract = {Currently, campus placements suffer from some persistent problems such as inadequate counselling, mismatch between job skills and job requirements, and the absence of any feedback on the rejection or non-placement of the student. Our Smart Mobile Campus Placement System takes care of all these problems through the use of an integrated platform meant for use by the student, counsellor, and the administration panel. Some of its key features include a role-based dashboard, sign-in module, and other features. One of the most important features is the resume parser, which helps in building a student profile based on the resume that can be uploaded with the addition of versioning support, thus decreasing the work involved in the creation of the student profile. The system gives intelligent recommendations to students along with gap analysis and 'what-if' scenario capabilities. It also has auto-apply capability. Other important features for both students as well as administrators, counsellors, and advisers are career DNA, interview readiness index, and placement passport, respectively.},
        keywords = {Campus Placement, Explainable AI, Resume Analysis, Skill Gap Analysis, Job Recommendation, Mobile Application},
        month = {April},
        }