Lucy Low

Contact Me

About Me

Welcome to my website. I am a tech enthusiast, research scientist, and entrepreneur. My goal is to build products to improve the lives of people and empower my community.

Latest Projects


project name

Call Aunty - Web Application for Expectant Mothers to Recieve Online Pregnancy Risk Assessments

Call Aunty - Developed a web management application which allows expectant mothers to call-in to determine if they are high risk. The application is free, high quality support system for pregnant women living in rural Bangladesh, that provides them with information and resources to help them actively plan for their pregnancies, in a comfortable and culturally acceptable setting.

Top 10 Hacks for Google's Devs Without Border's Break Inequality Hackathon. Application uses Twilio to generate automated responses with various survey questions with a Python and Flask back-end framework.

Find out more

project name

En Français Si Vous Plait? French-English Natural Language Processing (NLP)

Vision of connecting people through language and advancing a barrier free society for billingual speakers. As a Canadian citizen, ensure respect for English and French as the offical languages of Canada and have equality of status, rights, and privileges.

French-English translations using PyTorch’s Transformer model and paper implementation of "Attention is All You Need”. Led the development of the machine language translation transformer model uses encoder-decoder attention mechanisms in a sequence-to-sequence model. "On the WMT 2014 English-to-French translation task, model establishes a BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature"

Find out more

project name

Salty Wet Man - Not Suitable for Work (NSFW) Image Classification using VGG16 Neural Network

Developed a Not Suitable for Work image classification using Keras and Tensorflow.js trained on ImageNet dataset. Defining NSFW material is subjective and the task of identifying these images is non-trivial. Salty-Wet-Man identifies images into two categories: [SFW] positively trained for neutral images that are safe for work [NSFW] negatively trained for pornographic images involving sexually explicit images.

VGG16 CNN for large-scale image recognition model implementation achieves 92.7% top-5 test accuracy on ImageNet. NSFW Object Recognition functionalities include Content-Based Retrival via Localization, Image Detection, and Segmentation, and Image Region Proposal Cropping.

Find out more

project name

Ms.Robot Fashion Modelling - Training a Variational Autoenconder with Fashion MNIST dataset

Trained a variational autoenconder (VAE) using TensorFlow.js on Node on the Fashion MNIST dataset. Data compression algorithm with functions where user defines the parameters. Created a generative model which means it can be used to generate new fashion pieces for Mrs.Robot by scanning the latent plane, sampling the latent points at regular intervals, to generate new fashion pieces for each point.

Results show that the generative model with parameters of a probability distribution (VAE) is capable of achieving results on a highly challenging dataset of over 60,000 fashion set images using machine learning.

Find out more

project name

Yeezy Taught Me Text Generation - Train Next Character Prediction using Long Short Term Memory Model (LSTM)

Developed a web application for AI model training and text generation. Trained LSTM model to generate text based on patterns in a given text corpus. Yeezy's Model makes probability predictions of the character that follows the input sequence. Process is repeated in order to generate a character sequence of a given length hence the "text generation" part of the project.

Input file takes input text data. Model saved in IndexedDB database. User inputs Yeezy's model parameters to train model: [model layer size, number of epochs, examples per epoch, batch size, validation split, or learning rate].

Find out more

Other Projects

Amazon Developer as Low Apps In Skill Purchasing

Published developer with multiple Amazon Alexa applications on the Alexa Skills Store. Low Apps integrated with Voice User Interface (VUI) and In-Skill Purchasing (ISP). ISP allows developers to enrich in-skill experiences, drive deeper customer engagements.

Search Alexa Skills Store for Dad Jokes, Meditation Zen, Buddha365, Daily Shakespeare, or Daily Stoic

Juypter Notebook: Data Analysis of Udacity Student Engagements

Data Analysis with Python and Jupyter Notebook on Udacity Student Engagement data with CSV data cleansing on files enrollments.csv, daily_engagement.csv, project_submissions.csv. Correlations between Udacity project completion rates and the following factors: minutes engaged, lessons completed, and days visiting the classroom.

Data analysis here.

Hack Princeton - Microsoft Word + Audio Parsing Free

Developed a Node.JS application using the Word Javascript API for Hack Princeton. User records audio from their browser and the data is automatically parsed into Microsoft Word using the JS add-on.

Record Audio!

Juypter Notebook: Data Analysis of New York Subway and Weather Data. Working with 2D data with numpy and pandas.

Data Analysis with Python and Jupyter Notebook on New York Subway and Weather Data. Compared NYC subway map to find high ridership numbers in clusters from longitude from - 73.95 to -74.03 and latitude from 40.70 to 40.79.

Data analysis here.

B00m-h3adsh0t! - Neural Network Aimbot for FPS games with Custom Training Mode ︻デ═一 Free

Developed a Neural Network Aimbot for FPS games with custom training mode written in C++ providing a fast and efficient framework with scripting support. Includes customizable predictions and dynamic speed settings. Recognizes game objects in a certain range, then aims at the objects using game physics by hooking into the FPS game engine to use game data to auto-aim without altering gaming files.

Download Now!

Juypter Notebook: Gapminder Data Analysis

Data Analysis with Python and Jupyter Notebook on Gapminder data with information on employment rates (%), life expectancy (years), GDP/capita (US$, inflation adjusted), primary school completion (% of boys), primary school completion (% of girls)

Data analysis here.

More on Github