Teo Jao Ming's Projects
Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.
BetterTouchTool Touch Bar Presets
Using a Convnet Model with 3-Block VGG Architecture to Classify Images of Dogs and Cats
Analysis and clustering of some covid-19 datasets that i have found and scraped from online
These codes are specific to Singapore. Given a dataset about dengue occurrences in Singapore, alongside data of a particular region's temperature and rainfall, we are to attempt to train a model that could predict dengue occurrences in the future, given just the rainfall and temperature as well.
My attempt on the Disaster Tweet project on Kaggle.
This project was done under the NUS module DSA4262, of which it focuses on projects that center around medicine and healthcare.
Project for DSA4264's Public Policy and Society
This project aims to develop a script that could effectively summarise articles in the extractive sense
This project deals with predicting the location of a gene in the human genome based off experimental data
A collection of NLP focused functions that supports my main projects
OCR Task for IMDA AI Scientist Role
I attempt to create a model that is able to 'look' at picture of cars and return the text version of their number plate number.
A project that allows me to showcase the applications of the models that I have done, or will ever do based on Flask's API
A telegram bot that is able to extract the summary of news from Singapore's Straits Times.
Tensorflow based. Use CNN and CTC loss. It is a light network for Plate Recognition
This challenge was issues by PSA
Python recommendation system that does not rely on C-ython
Python code for real-time face detection using your computer's webcam
Codes and attempts at the problems given by Shopee
For this project, I did an analysis on the beverage market in Thailand, in the capacity of a data consultant, so as to recommend to an up-and-coming company on what insights they can derive based on the current state of the market to ensure the success of their budding business
Code for the Kaggle Titanic Project
Simulation of transhipment logistics between 2 different locations to ascertain its timeliness in arrival. This project was inspired by a Simulation Project that i worked on as a Capacity Planner and Analyst at PSA Singapore.