Analyzing the house price data in Taiwan every quarter from 2010 to 2022 using both Julia and Python. We created several models such as DNN and Decision Tree to allow users to predict the cost of accommodation based on their demand.

A data visualization website mainly built with R Shiny and ggplot2, and enables users to upload their data and create various types of plots, such as scatter plots or line charts, based on their needs.

During the 2022 World Cup semi-finals, crawl tweets about the 4 teams, analyze the positive and negative sentiments of the tweets, generate wordcloud, etc., and visualize the results using R Shiny.

We used Tensorflow in Python and our own pictures to create a tool that allows for communication between users and people who are deaf and dumb, and vice versa.

I used R Shiny to build an interactive questionnaire website. The website allows users to determine their MBTI (Myers-Briggs Type Indicator) based on their answers and surveys the correlation between their habits, such as their savings, and their MBTI.

I used R Shiny to build an interactive questionnaire website to survey the investment habits of college students in Taiwan.