BrainStation is very happy to announce the launch of brand new payment plans for our community, which are among the most competitive payment options in the world.
Last month, BrainStation hosted Demo Day for the graduating classes of the Spring 2019 Diploma programs. This graduate project showcase was one of the best yet, with hundreds of attendees and Hiring Partners joining us at our Toronto and Vancouver campuses.
We’ve rounded up some of the top projects from our Data Science, User Experience Design, and Web Development Diploma Program graduates:
Calling is an app that works to bridge the gap between volunteers and organizations by helping volunteers connect with and apply to volunteer organizations. You can learn more about Zack’s projects here.
Grover is a smart, personal plant assistant designed to help busy plant novices preview, select, and maintain houseplants. This app makes it easier to choose plants that will thrive in your space and give you a better understanding of their behavior and needs.
Kindred aims to bring together solo travelers to do two things: connect and explore. Travelers can discover a city’s best kept secrets through adventures designed around their interests, all while building meaningful connections with like-minded travelers. See Julie’s profile here.
Link is created to help foster strong connections between volunteers and organizations. Through strategic filtering, this app focuses on the volunteer’s passions and allows them to find like-minded companies.
Andrew uses reinforcement learning to train an AI to play PONG. Before training, the AI acts randomly, storing all the results of its actions in memory. After seven hours of training using a neural network, it is able to match the other AI PONG play for points. See Andrew’s portfolio here.
NBA Draft Picker
Eman built a classification model to predict the rank of top NBA prospects, using 10 years of NCAA player’s advanced stats, historical data, and draft results. Eman’s predictive system allowed her to predict the results of the draft’s first two rounds with 82 percent accuracy.
TL;DR Automatic Text Summarizer
Douglas Guglielmelli – Data Science Diploma Program
Automatic text summarization tool extracts the most relevant information from articles. Each sentence is represented by a node and the links represent how similar they are. Then, a ranking algorithm identifies which sentences are most relevant. See his profile here.
Purchase Behavior Predictor
Lauren Taylor – Data Science Diploma Program
Lauren created a model that predicts consumer behavior on an eCommerce website based on customers’ relationship with online channels (such as display ads, social, and organic search).
Turn your photos into a graphic work of art with PhotoSprite. This web application converts your images into pixel art that you can then save to a gallery. To see more of Luke’s work, check out his Github Portfolio.
RescU helps people suffering from depression by allowing users to book training sessions with rescue shelter dogs so they can experience the benefits of animal therapy, group therapy, and a greater sense of life purpose. See more of Ivan’s work here.