The award-winning team, comprising Khawaja Abdul Moeed, Hassan Kumail, and Abu Bakar, developed Shopiq to intelligently analyze foot traffic and shopper behavior, enabling context-aware advertisements within mall environments. The project reflects SCIT’s strong emphasis on applied artificial intelligence, computer vision, and industry-relevant problem solving.
Out of more than 350 project submissions nationwide, only 60 were shortlisted for the final round, including three final-year projects from SCIT. These projects were mentored by faculty members Syed Nouman, Muhammad Ali, and Nabeel Ahsan, underscoring BNU’s robust research culture and competitive academic mentorship.
