SMART ADMISSION HUB: A RANK-SENSITIVE, CATEGORY-AWARE INTELLIGENT COLLEGE AND BRANCH PREDICTION SYSTEM USING MULTI-YEAR CUTOFF ANALYTICS FOR UNDERGRADUATE ADMISSION DECISION SUPPORT
DOI:
https://doi.org/10.5281/zenodo.21414240Keywords:
Smart Admission Hub, Web-Based Application, HTML5, CSS3, Vanilla JavaScriptAbstract
Smart Admission Hub is a computerized college prediction system providing personalized admission recommendations across 200+ Indian educational institutions through a multi-exam support framework encompassing CET, NEET, NDA, and JEE entrance examinations. The system accepts user credentials including exam type, rank, course preference, demographic data, and state preferences against a comprehensive normalized cutoff database derived from 2023-25 admission trends. An algorithmic probability engine computes individualized admission likelihood through rank-position analysis and historical cutoff variance, delivering quantified outcomes categorized as Safe/Moderate/Reach admissions. Interactive real-time filtering enables dynamic comparisons by state, branch, fees, and institution while providing seat availability and cost estimates. This decision-support platform significantly reduces uncertainty in college selection, streamlining the counselling process for national-level entrance examinations. This decision-support platform significantly reduces uncertainty in college selection, streamlining the counselling process for national-level entrance examinations and empowering every 2026 aspirant with data-driven clarity from the first preference list to the final allotment.
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