What is Con Artist?

Con Artist is an online multiplayer game that allows players to take up the role of a detective. At the beginning of each round, everyone but one detective knows a word from a particular category. The players have to go around and say something they know about the word and discuss who is the con artist: the person who does not know the word.

How I built it?

The app consisted of two components: a front end developed with HTML, CSS, Bootstrap, and JavaScript and a server developed with Node.js, Express.js, and socket.io. The app allows multiple players to join their own private rooms and communicate with each other using web sockets. The server allows users to interact with buttons that will change categories and lock them at the start of a round.

All frontend functionality is handled by the backend server, thus eliminating the need for the frontend to store resources locally. A playable demo website will be available soon!

• HTML
• CSS
• Bootstrap
• JavaScript
• Node.js
• Express.js
• socket.io

What is Passionfruit?

An iOS lunch pairing app for students around Rutgers University to find new people and mentors with similar interests as them.

How we built it?

The app consisted of a front end developed for both iOS and Android devices using Swift and Java, respectively, and a backend developed with Python's Flask microframework and a MongoDB database. The iOS app was my primary responsible for the project. I programmed a login/signup system via Google Firebase as well as a table view controller that displayed users on the platform, which was fetched from a Python REST API using HTTP network requests.

The Flask API served as an intermediary between the frontend and MongoDB database. The database stored additional information about the user, such as interests, social media account links, and location preferences.

• iOS
• Swift
• Android
• Java
• Firebase
• Python
• Flask
• MongoDB

🏆 Best Use of Twilio API at HackRU Spring 2018 🏆

What is Crowdplay?

A text message service that allows anyone to send a simple message queue up their favorite songs on Spotify or control media buttons on a Bose speaker.

How we built it?

The app consists of two components: a text-message interface powered by the Twilio API to send requests and a Flask server that handles those requests. After sending a text message, the Flask server, exposed by ngrok, will redirect the request to Spotify's API if the user wants to queue a song, skip a song, or show what songs are up next in the queue and Bose's API if the user want's to adjust the volume or mute the speaker.

After songs are requested, they are queued in order or priority. In other words, the more times a song is requeusted, the higher it gets pushed up the queue.

• Python
• Flask
• ngrok
• Spotify API
• Bose API
• Twilio API

What is RUcycle?

At Hack Princeton Spring 2018, we developed an android app that can take a picture of an object and classify the its recyclability.

How we built it?

The app consists of three components: an Android app, stdlib seerverless api connection, and a custom Wolfram Alpha classifier. The Android app was built in Java and it was my primary focus for the project. Upon opening the app, the user can take a picture of an object using the phone's camera. The picture is then passed to a custom Wolfram classification model via an HTTP request from Stdlib. The model will then return the recyclability of the object: trash, recycling, or electronics, and present it to the user of the app. If the item is an electronic, the app will show you the closest electronic recylcing centers near you via Google Maps.

In order to create an accurate classifier, we trained our Wolfram classification model by labeling the recylcability of pictures of different objects we found online.

• Android
• Java
• stdlib API
• Wolfram Alpha API

🏆 Best Use of Hardware at HackRU Fall 2017 🏆

What is Rock Paper Myo?

A computer player built using an Arduino micro controller and Myo armband, which tracks a user's hand gestures, and beats a player at a game of rock, paper, scissors.

How we built it?

We started by interfacing a Myo armband, a device with an eight point EMG sensor that reads electric signals from your forearms, and an Arduino to read hand gesture data from the armband. The hand gesture data was used to program the rock-paper-scissors moveset in C++.

After engineering three servo arms for rock, paper, and scissors to an IO pin on an Arduino, the computer was programmed to detect the user's hand gesture and rotate the winning servo arm.

• C++
• Arduino
• Myo armband