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Academic Research Poster

Smart E-Commerce System With Recommendation Feature

Project IDPT-S26-9DABF5
Lead ResearcherRamza Naz
Student IDF25CSC053
DepartmentComputer Science
SemesterSemester 02

Abstract

A Smart E-Commerce System developed in C++ using OOP concepts, where users can browse products, add multiple items to a cart, and place orders. The system also includes a recommendation feature that suggests related products.

Research Team

Nasir FareedF25CSC051
Areeb AhmedF25CSC110

Internal Supervision

Principal SupervisorAteeque Rahman
Academic DivisionFaculty of Information Technology

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Smart E-Commerce System With Recommendation Feature