DEVELOPING A HAIR SALON MANAGEMENT WEBSITE

Abstract

The development of information technology has permeated almost every aspect of life and society, making online hair appointment booking increasingly common. This not only helps users save time but also adds convenience to managing their personal schedules. Recognizing this demand, I have chosen the topic "Building a Hair Salon Management Website" with the aim of addressing users' needs for actively changing their hairstyles while enhancing their experience by suggesting styles based on individual facial shapes. To develop a facial recognition function capable of suggesting and simulating hairstyles, this study proposes the utilization of an EfficientNetB4 convolutional neural network architecture. This approach is expected to yield a high accuracy rate in classifying and identifying facial types, thereby enabling tailored hairstyle recommendations. The integration of artificial intelligence into the beauty industry not only enhances precision but also broadens the range of options available to consumers. The outcome of this project will be a website that allows users to easily book appointments online. Additionally, the website will suggest hairstyles tailored to different facial shapes, empowering users to feel more confident when deciding on a new look. Moreover, a feature that overlays users' faces onto sample hairstyle images will help them visualize the desired style beforehand, ensuring satisfaction and comfort when visiting the salon. It is hoped that this project will not only benefit users but also contribute to improving the service experience at hair salons. Thereby, we hope to create a modern platform that meets the increasing needs of consumers in the field of good work, while affirming the role of information technology in improving service quality.