Abstract:
In an increasingly digital world, human relationships are often overshadowed by
technology. However, giving gifts remains a fundamental means of strengthening social
bonds. Choosing the perfect gift can be a difficult and time-consuming activity,
especially when it comes to clothing and footwear, where everyone's fashion tastes vary
greatly. Keeping these challenges in mind, this project presents a novel solution in the
form of an image-based reward recommendation system that leverages the power of deep
learning Convolutional Neural Networks (CNN) and K-Nearest Neighbors (K-NN)
algorithms. Through Resnet50's deep learning techniques, the system identifies visual
characteristics, while the K-NN algorithm matches user preferences with visually similar
products in the dataset, thereby simplifying the reward selection process. This research
aims to create a simple and efficient system that increases gift choices by reducing
complexity, encouraging meaningful gift giving, and strengthening social relationships.
