Projects were done under the mentorship of Dr. Christopher Monterola and Dr. Erika Legara.
Students learn about neural networks (NN), the bedrock of deep learning, and how variants are used for predictive analytics—from pattern recognition to image processing to time series forecasting. Students are tasked to construct their own single-layer artificial neural network in Python from scratch which allows them to gain a deeper understanding of how neural networks work. They are also introduced to other types of NNs including deep NNs such as convolutional neural networks, recurrent neural networks, and GANs with tensorflow/keras, which are relevant packages/libraries in the field, among other tools.
WearMaskNet: Real-Time Face Mask Detection
With the advent of the COVID-19 pandemic, face masks have become an integral part in combating the transmission of the virus. As outdoor activity increased due to more relaxed restrictions, people ten
CassavAI: Cassava Leaf Disease Detection using Neural Networks
In the Philippines, Cassava is considered one of the staple crops because of its ease in cultivation and profitability. However, the threat of various diseases hampers the growth and volume of cassava
Going Deeper with Big D: Employing AI to Detect and Censor Pornography and NSFW Objects
Unlikely as it seems, the porn industry has always been leading technology. Good internet speed, online payments, and internet streaming are just a few examples of their contribution to innovation.
TL;DR: Text Summarization of Reddit Submissions
Summaries play a vital role in today's vast online consumption of information. However, not all content have meaningful summaries specially for crucial information channels such as social networking s
Sukat Online: Virtual Trying-On of Clothes using Generative Neural Networks
Virtual try-on of clothes has attracted much interest with the transition of global retail stores to e-commerce and online shopping. Different methodologies have been proposed to implement a solution
Slicing through the Confusion between Good and Bad Fruit: An Application of Convolutional Networks for Fruit Quality Classification
The Philippines is one of the top 10 fruit-producing countries in the world (van Rijswick, 2018). Despite this, farmers have the highest reported poverty incidence in the country at 31.6% (de Vera, 20
Developing a Short-term Trading Strategy for Bitcoin with Neural Networks
Bitcoin is the world’s largest cryptocurrency by market value and provides opportunity for investors to benefit from this relatively new asset class through portfolio diversification. Nevertheless,
How Crowded is too Crowded? Using Deep Learning and Image Processing to Measure Physical Distancing
It has been almost a year into the COVID-19 pandemic, and the Philippines has been adapting to the necessary changes in lifestyle according to the global health guidelines. One such regulation that ma
Wall-E Upgrade: A Trash Classifier
Improper disposal of solid wastes could lead to disruptive effects that impact daily human lives. Waste management serves a great importance especially to the health of human lives. To contribute to t