SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.
The backend code of my master's research: "Development of Risk Information System on Food Safety" (Taiwan)
A simple interactive web chart using d3.js to allow user interaction/ selection of the data graphed. The data examines health risks vs certain demographics within each state in the U.S.
Using D3.js, animated scatter plots analyze relationships between health risks and different demographics in the US.
Creates interactive scatter plot with multiple x and y axes based on census data.
Using D3.js (one of the popular JavaScript libraries for creating tables in the website), design the table telling us about the differences between the health risks and income status.
This project is an interactive Streamlit dashboard that uses machine learning and data analytics to analyze air pollution across Indian states and cities. It provides health risk prediction, pollution trend analysis, policy simulation, and explainable AI insights using CSV-based datasets.
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