• The News Explorer is a network visualization of the news providing insight into what is being reported and how it is interconnected. It is powered by a natural language processing pipeline, including NLTK preprocessing, Doc2Vec embeddings, and knowledge enrichment with IBM Watson. Articles are stored in Neo4j as a weighted graph and can be queried using a scalable Python API. I also designed and developed a material UI React.js web app, incorporating a physics-based graph simulation, to visualize article relations and topic clusters.

A fun React.js web app to generate lyrics in the style of over 40 artists, getting about 20,000 unique visitors a month. The app is powered by a LSTM to predict the rhyming pattern of lyrics generated by a Markov Model.

• A Google Assistant Action designed for exploring the latest news stories. The voice assistant can make recommendations for more content and explaining how the articles are relevant by using the underlying knowledge graph. The Google Action showcases some features that can be used to create voice experiences for news and media sites. The content reccomendation engine was deployed as a scalable API using the serverless framework and the Google Action was developed using the Node.js (Jovo) framework.

• An XGBoost model to predict the astronaut’s physical activity based on their biometric data, automating the manual task of logging. The project was selected as a national finalist in the Canadian Space Agency Challenge.