This app uses deep learning to classify a given screenshot of the video game "INSIDE" (by Playdead) and provides users with a video walk-through hint on how to proceed through the various puzzles.
This project was inspired by the University of WashingtonNVIDIA Winter-Spring 2017 EE 497-498 entrepenuerial capstone project.
Demo URL: https:www.youtube.comwatch?v=jFVDtwrJ05Y&feature=youtu.be
Mobile Application created by: Devin Stoen (stoend@uw.edu)
NVIDIAUW capstone members: Devin Stoen, Catherine Feng (catfeng0219@gmail.com), Ben Robaidek (benro@uw.edu), Haonan Wang (helen461@uw.edu)
Mentored by: Roger Allen (RAllen@nvidia.com) and Brian Nelson (nelson@ee.washington.edu)
Tools and Technologies:
-Keras (Tensorflow)
-Python3.5
-Android SDK
-Java
-XML
-YouTube Android Player API