Academic Research Poster
Perfume Recommendation System
Project IDPT-S26-9686BB
Lead ResearcherAyyan Aamir
Student IDF24CSC052
DepartmentComputer Science
SemesterSemester 3
Abstract
The Perfume Recommendation System is a Java-based application that leverages core Data Structures and Algorithms (DSA) to deliver highly personalized fragrance suggestions. Designed to efficiently match users with high-quality impressions of popular perfumes, the system processes diverse olfactory profiles, scent families, and individual preferences to output accurate, data-driven matches.
Research Team
Saad AliF24CSC029
Anas KhanS25CSC007
Internal Supervision
Principal SupervisorSaadia Karim
Academic DivisionFaculty of Information Technology
Poster Actions
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