About Me

Hello everyone, I am Thai Hoc, I am a Data Science (DS) and Artificial Intelligence (AI) engineer. Currently, I am a researcher at the Institute of Applied Science and Technology (IAST) in Thai Nguyen. For more information, please visit website or contact me at email.

Description

This is a list of personal projects, focusing on Machine Learning, Deep Learning and Computer Vision. These projects carried out during the study of specialized courses.

Outstanding Project

1. Predicting Mobile SIM Prices with Deep Learning (Cloud Computing subject)

• Crawling prices SIM data from internet using Selenium tools
• Building and develop LSTM (Long Short Term Memory) model on prices SIM data
• Using Streamlit to developed a user interface basic
• Deploy the website on AWS cloud platform
• Tools Used: Python | Selenium | scikit-learn | Tensorflow | Streamlit | AWS

2. Intrusion Detection and Alert System using YOLO (Deep Learning subject)

• Data collection and labeling for custom person dataset using CVAT tool
• Using the YOLOv8n model for training and combine with Telegram application to detect and intrusion alert
• Tools Used: Python | YOLOv8 | ultralytics

3. Product Recommendation System for Fashion Websit (Recommendation System subject)

• Using collaborative filtering techniques for personalized product suggestions
• Building a website interface and organized data storage using Flask
• Tools Used: Python | Flask | scikit-learn

4. Develop a Website for Cervical Cancer Classification (Software Technology Application subject)

• Design and integrated a pre-trained deep learning model for classifying cervical cancer stages as MobileNet-V2, Inception-V3, InceptionResNet-V2, VGG16, ResNet101, Xception.
• Developed a basic user interface and integrated the pre-trained model using Streamlit.
• Tools Used: Python | scikit-learn | Tensorflow | Streamlit

5. Building a Website Support Labeling for Cervical Cancer (Intership Subject)

• Similar to Project 4, this project also builds a deep learning model for classifying cervical cancer cells. However, in this project, a new tool called Gradio is used to deploy the user interface.
• Tools Used: Python | scikit-learn | Tensorflow | Gradio

Contributing

These are just projects suitable for beginners, as they cover simple concepts. Since these are personal projects, mistakes are inevitable. I warmly welcome your friendly contributions to help improve them. Thanks you everyone!