These are some of the projects that I have been working on during my spare time or at hackathons.
AR Pong is a project that was created at HackMIT 2017. We were inspired by the arcade game Pong and wanted to build an augmented reality experience on the Microsoft HoloLens that simulated this classic game. In this game, two players duke it out by trying to bounce a ball into their opponent’s “goal”, a hitbox that follows their opponent’s head. The surrounding environment acts as barriers that the ball can bounce off. AR Pong is built in Unity using the Mixed Reality Toolkit from Microsoft and the C# scripting language. A video demo of our project can be found here.
HuntMaster is a DSL useful for creating websites for scavenger hunts or puzzle hunts that have interactive modules. Each hunt consists of a set of stages in which players are required to provide some sort of correct input before they are able to proceeed. HuntMaster currently supports text input, QR codes, GPS locations, and pictures of specific objects. Creators can also build their own modules that can be integrated into HuntMaster. A video demo of a hunt created with HuntMaster can be found here.
HuntMaster was built using Python’s Flask framework and uses a Bootstrap
frontend. Feature detection is done through Google’s Vision API, GPS-based
location tracking is done through HTML5, image comparison is done through
OpenCV (specifically feature tracking with SIFT), and QR Code generation is
done through the
qrcode Python module. This project was created at BeachHacks
Bang! is a 2D multiplayer shooting platformer where your player’s actions are controller via voice command. Issue commands like “Bang!” to cause your player character to shoot or “Jump!” to make your player jump. For some more screenshots of the game, visit this page.
The game engine runs on Python’s
pygame library and the web server was built
Web Speech API into the application to accept voice commands. This project was
created at LA Hacks 2017.
SentiMedia is a website which performs sentiment analysis on the comments section of a YouTube video. The user may submit any valid YouTube video link and the website will scrape through the comments section of that video and give you a score between -1 (negative) and 1 (positive) indicating the sentiment of the comments section. Users also have the option to compare the sentiment between two videos. In addition, there is a table of channels listed along with their sentiment score.
This website was created using Python’s Flask framework. The sentiment analysis was done with the help of Python’s NLTK (Natural Language Toolkit) library and is hosted by Google App Engine. This project was created at Hacktech 2017.
AR Labyrinth is a modern take on the classic game Labyrinth. Users can draw their own maze and then scan it into the game. To provide a tactile input similar to the original game, the player can hold the physical map under a webcam and tilt it to control the virtual ball. A demonstration of the game can be found here.
Built using Python, AR Labyrinth uses OpenCV’s feature detection to compute homographs that track the tilt of the map in the webcam stream, and Panda3D as a 3D physics engine to generate user-created maps and run the game. This project was created at the 2016 5C Hackathon and won first place in the advanced division.
Picobot is a robot which can navigate a physical environment given a set of rules. It does this by detecting its surroundings with four proximity sensors and moving depending on the inputs detected by the sensors. Picobot was written in Python. This project was inspired by Picobot from the Harvey Mudd College CS5 Introduction to Computer Science course and was created at the 2016 MuddHacks hackathon.