Name of project: Build a Machine Learning Application Website

HCMC University of Technology and Education

Faculty of Information Technology

Members of group:

• Vũ Nguyễn Trung Khang - 20110277
• Võ Ngọc Quý - 20110709
• Hồ Thành Danh - 20110207

Instructor:

T.S Trần Tiến Đức

Content:

• Face Recognition
• Fruits Recognition
• Calihousing
• Gradient Descent
• K-Nearest Neighbors (KNN)
• Support Vector Machine (SVM)

App framework and language:

Streamlit, Python

Setup:

pip install -r requirements.txt

How to training in your Face Recognition?

First go to direct image in folder training and paste your folder that have your personal photos,then go to folder training:

cd training
py training.py
cd ..    

Next, go to FaceRecognition.py and set your listmodels orderly same as list folder arrived in folder image above:

listmodels = ['BanKiet', 'BanNghia', 'BanNguyen', 'BanThanh', 'SangSang', 'ThayDuc'] 

Build:

Local URL: http://localhost:8501

Run project:

streamlit run manage.py