Đồ án tốt nghiệp - Smart online barbershop with AI intergrated

HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INFORMATION TECHNOLOGY

PROJECT REPORT
Course name: CAPSTONE PROJECT

PROJECT: SMART ONLINE BARBERSHOP WITH AI
INTEGRATED

Lecturer name: Tran Vu Hoang, PhD
Student ID

Student name

21110773

Nguyễn Khắc Huy

Ho Chi Minh City, May 2025

ACKNOWLEDGMENTS
We would like to express our sincere gratitude to PhD. Tran Vu Hoang - lecturer at Ho
Chi Minh City University of Technology and Education, for his priceless assistance in
choosing the topic, guiding us during the research process and giving us feedback
We would also like to express our respect to all faculty members of the Information
Technology Department who supported us, explained our doubts during the project
implementation. In addition, we would like to thank our seniors who gave us valuable
information, useful suggestions and our peers who shared their experiences to improve
the quality of our work
We look forward to feedback and contributions from our teachers and peers to further
improve our project. Sincerely thank you

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INTRODUCTION
Nowadays, the demand for hair care is increasing in both men and women. In addition,
hairstyles are also becoming more and more diverse and users do not know what
hairstyle is suitable for their face. Barbershops today, in terms of online marketing, are
not really developed and there is not really a software system designed properly for a
barbershop

In this project, SMART ONLINE BARBERSHOP WITH AI INTEGRATED we aim
to develop a barbershop system on a comprehensive web platform. The ultimate goal of
this project is to a simple but effective website that can better connect customers
and barbershops so that customers can understand and be more proactive in taking care
of their hair.

The website will be designed with a user-friendly interface that allows customers to
easily book haircuts, view and purchase hair care products, and easily find the right
hairstyle for them through hairstyle transfer AI. On the other hand, employees and
managers can easily access customers as well as manage the content, human resources,
and existing finances of their hair cutting system. The platform will include features
such as personal profiles, ordering, hair care appointments, product search, and
communication tools for employees to effectively communicate with customers.

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INDEX
ACKNOWLEDGMENTS

2

INTRODUCTION

7

INDEX

8

LIST OF TABLES

15

LIST OF FIGURES

17

CHAPTER 1:
...

...
are also concerns, as storing sensitive
customer data online exposes the system to potential breaches. Furthermore, while
the hair-swapping feature is innovative, it may not always produce results that align
with real-life expectations, which could lead to dissatisfaction. Lastly, the platform
might not appeal to customers who prefer traditional walk-in visits, potentially
limiting its adoption. Addressing these drawbacks will be crucial to ensuring the
systems long-term success.
6.3 Future Works
In the future, we plan to and enhance several features of the application. One
key improvement will be the addition of an AI-powered chat feature, providing realtime support and personalized assistance to users. We also aim to incorporate large
language models (LLMs) to enhance SEO, helping users find relevant content and
services more easily through better search engine visibility. Additionally, we will
focus on fixing interface bugs and continuously improving the design to make the
user experience more intuitive and visually appealing. Another important goal is to
optimize the websites performance by improving the loading speed, ensuring a
smoother and faster experience for all users. These s will help us a more
seamless and engaging platform, meeting the evolving needs of our users.

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REFERENCE
[1] Meta. (n.d.). React – A Java library for building user interfaces.
https://react.dev/
[2] npm, Inc. (n.d.). npm. https://www.npmjs.com/
[3] React Bootstrap. (n.d.). React Bootstrap Documentation. https://reactbootstrap.netlify.app/docs
[4] Express.js. (n.d.). Express – Node.js web application framework.
https://expressjs.com/
[5] Tiangolo, S. (n.d.). FastAPI. https://fastapi.tiangolo.com/
[6] Amazon Web Services, Inc. (n.d.). What is AWS?.
https://aws.amazon.com/vi/what-is-aws/
[7] Hu, J., Wang, Z., Xie, D., Chen, X., &amp Zhang, L. (2024). Stable Hair: A
diffusion-based hairstyle transfer model. arXiv. https://arxiv.org/pdf/2407.14078
[8] Google. (n.d.). Gemini API – Remini documentation.
https://ai.google.dev/gemini-api/docs
[9] GeeksforGeeks. (n.d.). Constraint Satisfaction Problems (CSP) in Artificial
Intelligence. https://www.geeksforgeeks.org/constraint-satisfaction-problems-cspin-artificial-intelligence/
[10] Rombach, R., Blattmann, A., Lorenz, D., Esser, P., &amp Ommer, B. (2022).
High-resolution image synthesis with latent diffusion models. arXiv.
https://doi.org/10.48550/arXiv.2112.10752

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