Detecting Accents of Non-Native English Speakers
This project deploys an Accent Classifier model to a simple web application using flask. The algorithm was trained on multiple voice recordings of native and non-native english speakers.
projects
Whose Art Is It?
This is a deployment of the DeepArtist model to a simple web application using flask. The algorithm, which trained on ResNet50, identifies the artist when shown a painting.
Uncovering Networks in the US Congress 1947-2019
The widening partisan divide in the US Congress was examined using network science. We look at the solidarity of each party and the cooperation among different parties over time.
An AI Classifier of Plant Disease
Convolutional neural networks identify plant diseases from photos of leaves. The project promotes early detection of crop disease to help improve food security and lives of farmers. 
Predicting Winning Political Candidates From News Tone
In this project, the predictive power of Big Data in predicting election results is explored. Using daily online news coverage, the winnability of certain political candidates can be determined.
Predicting the XAU-USD Foreign Exchange Prices
An implementation of machine learning models to predict trends in forex prices despite their volatility. This is especially useful in helping amateur traders acquire gain or profit.
Machine Learning Identifies Top Predictors of Suicide Attempts
Using demographic data from a survey in reddit, the top predictors of suicide attempts are identified. Machine learning tries to predict a result of complex social, psychological, and biological interactions.
Comparing Neural Network and Machine Learning Models
This mini project aims to determine how neural networks compare to other machine learning models in forecasting count of bike share rentals.
Urbanization in Metro Manila
A story on how urbanization affects the lives of people. This short project examines the challenges that demand significant changes to basic urban management and policies.