Career City 2026
Career Fair Digital Attendance, Demographic Analytics & Volunteer Feedback Platform
Project Authorship & Creator Attribution
Career City 2026 was engineered as part of student employment under Habib University's Office of Student Support & Analytics (OSSA) by Sheikh Muhammad Muneeb to digitize career fair operations, booth visits, demographic footfall, on-ground volunteer feedback, and executive reporting.
Role: Platform Engineer & System Designer (OSSA Student Employment) · Authored by Sheikh Muhammad Muneeb, Computer Science student at Habib University.
The Problem & Real-World Friction
At previous career fairs, student attendance and booth visits were tracked using physical paper passports stamped manually by organization representatives. This created severe bottleneck queues at employer desks, wasted over 600 sheets of paper per event, and left organizers with zero structured feedback or industry engagement insights.
The Engineered Solution
Digitized the entire career fair workflow for OSSA by assigning unique QR codes to each participating employer desk. Students scanned desk codes to verify visits, powering real-time tracking of demographic footfall (gender distribution, batch-wise activity, industry preferences), while on-ground volunteers captured structured two-way feedback—culminating in an automated live data report presented to University President Wasif Rizvi.
System Architecture & Technical Decisions
Developed with Next.js App Router, MongoDB, Tailwind CSS, and Recharts. Implemented client-side QR generation and scanning engines to ensure sub-second scan verification even under network congestion, with background aggregation jobs tracking industry foot-traffic patterns and on-ground volunteer feedback workflows.