Name: Jessica Van Brummelen
Type: User
Company: Niantic, MIT
Bio: Jessica is a HCI research scientist who's worked on empowering kids to code, conversational agents, autonomous vehicle tech, and most recently, AR at Niantic!
Blog: https://www.csail.mit.edu/person/jessica-van-brummelen
Jessica Van Brummelen's Projects
MIT App Inventor Public Open Source
An Alexa Skill used to connect to App Inventor.
Augmented reality system developed for MIT's [Office of Experiential Learning](http://oel.mit.edu/) during the Design for Social Impact Hackathon.
The web-based visual programming editor.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
This Alexa Skills Kit sample shows how to build a conversational skill.
An interactive conversational programming agent.
An online experiment based on the paper, Ephemeral Adaptation: The Use of Gradual Onset to Improve Menu Selection Performance by Findlater, Moffatt, McGrenere, Dawson.
Provides an example of Java source code for an MIT App Inventor extension.
This repository contains extensions for MIT App Inventor, including source code and `.aix` files. See [this documentation](http://ai2.appinventor.mit.edu/reference/other/extensions.html) for more information about App Inventor Extensions.
A place to host files.
real time application to measure heart rate
A jeopardy web app implemented in React.js.
This is the official location of the Kaldi project.
This project contains a Lambda skill for Amazon Alexa that returns words generated by an LSTM network.
A spot to store fun, personal Arduino, Raspberry Pi, etc. projects. For example, a Halloween project with strips of individually-addressable LEDs for butterfly wings 😄
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Example of recording audio from a webpage and streaming to a node.js server.
Contains code from my run-through of a [reinforcement learning tutorial](https://pythonprogramming.net/q-learning-reinforcement-learning-python-tutorial/). RL is cool.
Send secret emails with the Secret Santa Bot! You'll never have to know who got who... Unless you want to ;)
A simple websocket connection using Node.js.
A vanilla docker setup for a website.