I am very passionate about the field of AI (Artificial Intelligence) and have put a lot of time and effort into learning and exploring it more deeply. I have been constantly updating new knowledge, and continuously practicing and improving my programming skills to implement AI ideas and projects.
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Build a package for easy to calibrate camera (remove distortion of camera for improve accuracy of some vision application) and publish in PyPi
- The "AI Chess" project is a project that combines Image Processing, Arduino, and robotics to apply interactive chess playing with robot arms.
- The "AI Chinese Chess" project is a project that combines computer vision (YOLOv8) , Arduino, and robotics to apply interactive chess playing with robot arms.
- Train a CNN model on a dataset containing examples of both closed and open eyes. This trained model is then used by OpenCV to capture a live video feed from the camera. Each frame from the video feed is passed through the CNN model for processing and classification, determining whether the eyes are open or closed in real-time.
- Configure the CNN model using Keras - TensorFlow, and apply the Libraries OpenCV Numpy, Pandas, OS ...
- Build a simple Chatbot using Keras Sequential Model and deploy the model.
- NLP (Natural Language Processing) based on tokenizer and label encoder of sklearn library, built Neural Network with Sequential Keras model. Use Flask (API function) and HTML, CSS, and JavaScript to implement Chatbot.
- The Band's static website.
- Using HTML, CSS and Javascript to build Websites.
- Build a skeleton estimation from a photo or video using recognition patterns (Pattern recognition) so that the app will automatically detect human parts using machine learning algorithms.
- Use mediapipe library, and CNN MobieNet module to find human skeleton estimates from images or videos - Also, use cvzone library for real-time hand tracking, face detection, and face mesh detection
Computer vision intern in the "Research and Development" (R&D) Department. Get research jobs on AI Computer Vision, Embedded Software, and Software Applications. Here I was involved in a real project, Applying learned knowledge to solve some problems of controlling robot arms to perform some task.
Computer vision intern in the "Artificial Intelligence Innovation" room. Received the research on the SOTA model: YOLO, Here I was involved in the actual project, through which acquired working skills, searched for unknown information to complete the mission given.
Teaching Assistant for the Faculty of High-Quality Education (HCMc UTE) subject: Statistical Probability and Applications for Engineers. Receive the teaching of basic knowledge to support students to regain the basics and solve problems.
Permanent staff. Dealing with digital issues, information,
communication in business.
Material management, customer care, system installation, and maintenance support
industrial ultrasonic heating system.