Machine Learning
Resume:
LE THANH XUAN
AI ENGINEER
CONTACT
***********@*****.***
Ninh Kieu district, Can Tho
city
SKILLS
Technical Skills:
Programming Languages:Python
Databases: SQL Server, MySQL
Data Structures and Algorithms
Systems and Networkin
Technical Expertise:
Object-Oriented Programming
(OOP)
Machine Learning, Deep Learning
Soft Skills:
Communication
Problem-Solving
Learning and Adaptability
Teamwork and Collaboration
Additional Skills:
Cybersecurity
Cloud Computing (GCP)
2020 - Now
PROJECTS
Automatic Musical Classification using Flask and Machine Learning
Feb 2024 - Present
EDUCATION
Can Tho University of Technology
HOBBIES
Participating in social activities
Learning new technology, new
technology products
Summary:
This project builds a web application using Flask to automatically classify musical from audio. Users can upload an audio file, and the application will predict the music genre with high accuracy. Skills:
Python Programming
Flask
Librosa
Machine Learning
Audio Processing
Benefits:
Automatic music genre classification with high accuracy. User-friendly and accessible through a web interface. Potentially expandable to support a wider range of instruments. Link: https://github.com/Thanhxuan11/Music-Genre-Classification I am a student passionate about IT. I am looking for internship and personal development opportunities in this field. I am always ready to learn from experienced people and participate in real projects to improve teamwork and hone my skills. I look forward to having the opportunity to work and contribute to the company. Human Action Recognition usung Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM)
Sep 2023 - Dec 2023
Summary:
This project utilizes a application built with PyQt5 to automatically classify human actions within video recordings. Users can upload a video file, and the application leverages machine learning to predict the specific action being performed with high accuracy.
Skills:
Python Programming
PyQt5
OpenCV
Machine Learning
Video Processing
Image processing
Benefits:
Automates human action classification in videos with high accuracy. User-friendly interface allows for easy interaction and analysis. Potential to expand and classify a wider range of human actions. Link: https://github.com/Thanhxuan11/HumanAction
Other Projects:
Natural Language Processing
Website for Shoe Online Store
Gender-Classification using Support Vector Machine Summary
This project utilizes machine learning to develop a gender classification system based on facial images. It leverages a SVM model, trained on a dataset of labeled facial images, to predict the gender of new images with high accuracy.
Skills
Programming: Python
Machine Learning: SVM
Image processing
Libraries: OpenCV, NumPy, scikit-image, tkinter
Benefits
Automatic Gender Classification: Classifies gender from facial images with high accuracy, reducing manual effort and potential bias.
User-Friendly Interface: Provides a simple GUI for easy interaction and real-time predictions through webcam.
Potential for Expansion: The core model can be adapted to classify a wider range of facial features or integrated into larger applications.
Link: https://github.com/Thanhxuan11/Gender-Classification-SVM Feb 2023 - June 2023
Contact this candidate