Welcome to AIAI Team

Innovation – Creativity
Towards the Future

Innovating your technology with our team of experts dedicated to bringing AI solutions to everyone

Our Expertise

We specialize in the pursuit of advanced research areas

Our Projects

We have undertaken a wide range of technology and research initiatives, generating meaningful contributions to the community and our clients.

Project 1

QuickOrder - Fast Ordering via QR Code

QuickOrder is a smart ordering application designed to enhance the dining experience at restaurants. With just a single QR scan on the table, customers can instantly access a visual menu featuring high-quality images, detailed descriptions, and clear pricing. This allows guests to freely choose their dishes without waiting for staff to bring a physical menu or take their order, reducing service time and creating a more proactive dining experience. The app enables users to track their order status in real time—from kitchen processing to table delivery—and easily add extra items anytime with just a few taps. For restaurants, QuickOrder helps optimize operations, reduce staff workload, minimize order-taking errors, and increase table turnover efficiency. QuickOrder brings convenience, speed, and a modern dining experience to both customers and restaurants—an effective solution for smart service models.

Project 1

Travel Support Application for Foreign Tourists in Ho Chi Minh City

The application was developed by students with a primary focus on foreign visitors traveling to Vietnam. “International tourists often face challenges such as lack of information and language barriers when trying to experience the local culture. To address these issues, we created a new mobile application tailored specifically for international users,” said Nguyễn Trọng Phúc, the project’s founder. Hodos helps users not only discover great recommendations but also plan trips easily, translate languages, and explore fascinating aspects of Vietnamese cuisine. Designed like a local companion, the app accompanies tourists throughout their journey to discover the beauty of Vietnam. Built on Google Maps API, Hodos allows users to simply open the app and take a photo of what’s in front of them. The AI system will automatically identify and return information about the landmark they are viewing. Additionally, when selecting the food recognition feature, the application will provide information about the dish and suggest nearby restaurants where it is available. However, users should note that the clearer and more detailed the image is, the more accurate the results will be. “The app is very easy to use. It includes features similar to Google Lens and Google Maps, helping me save a lot of time when searching.”

Project 1

FreshGuard: Mobile App for Expiration Date & Product Recognition

This mobile application provides an intelligent solution for managing product expiration dates by integrating automated product information recognition on packaged goods. Using the device camera, the system detects and extracts essential data such as product name, manufacturing date, and expiration date. Users can store, track, and receive timely notifications before products expire. The app helps reduce waste, improve household inventory management, and enhance convenience through a modern, user-friendly interface.

Our Members

We are a team of experts with many years of experience in technology and research.

Dung Cẩm Quang, MSc
Dung Cẩm Quang, MSc

Advisor

Graph Neural Networks
Graph Representation
Natural Language Processing
Machine Learning/Deep Learning
Computer Vision for Application
Cao Thị Trúc Quỳnh
Cao Thị Trúc Quỳnh

Advisor

Nguyễn Hữu An
Nguyễn Hữu An

Advisor

Intelligent Transportation System
Graph Neural Network
Hypergraph
Knowledge Graph Reasoning
Đỗ Thị Thu Phương
Đỗ Thị Thu Phương

Communications Lead

Hà Trọng Nguyễn
Hà Trọng Nguyễn

Developer

Computer Vision
Large language Model
Job Shop Scheduling Problem
Transportation Analytics
Prompt engineer
Lưu Hữu Trí
Lưu Hữu Trí

AI Engineer

Computer Vision
Event Extraction
Large Language Model
NodeJS
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