Technique
This project started for course CS5700. It's designed to intergrate the theory of Human-Computer Interaction for Machine Learning project.
For the functionality of the project, below techniques are adopted during the implementation.
Python + Flask
The framework of this project is written with Python and adopting Flask framework to achieve the machine learning model within the webpage. Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. Flask supports extensions that can add application features as if they were implemented in Flask itself.
Machine Lerning + Data Analytic
The data used in the project is from the Washington University. The research team designed a project to collect the human behavious data within a specific building. (source: ...). The XGboosting model was adopted to use acquired data for model training and make prediction on new data.
JavaScript + BootStrap
BootStrap and JavaScript were embeded for a dynamic and better webpage effect.
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