2019 Projects

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Loot (Won Best UI/UX Award and Moltin’s API Award!)

Made by “Spenser Cheung, Cari Liu, Chess Myers, Michelle Kang, Patrick Hanbury and Terry Chen

An e-commerce platform tailored to your preferences. Who knows, maybe you’ll discover some hidden treasure!

Facebook Audit (Won Hack to Give Back Award!)

Made by Julian Zucker, Sam Xifaras, Michael Wheeler, and Daniel Rassaby

Audit all the data that facebook has on you and the amount of interactions you’ve had with facebook. We extracted as much data as we could from Facebook’s data export, and then we created a client-side app that would visualize it. It is important that the app be client side - your full Facebook history is very sensitive data and users shouldn’t have to give up their privacy (by uploading their data) in order to visualize it.

CrimePot (Won Rookie of the Year Award!)

Made by Kyle Posluns, Daniel Wang, Stanley Liu, Pratheek Hegde and Sauharda Rajbhandari

Web app for viewing criminal activity near you. A project that uses the data from the Crime Incident Reports provided by the Boston Police Department.

VODCA (Won Most Technically Challenging Award!)

Made by Jack McNally, Swati Joshi, and Jack Baxter

Computes how much every stock in the S&P 500 is under/over values, and gives the percentages back in a sorted list. Scrapes the data from each web page for all 500 companies on the S&P 500, and determines how much the stock is over or undervalued from the data it collects.

Foodies

Made by Mathias Kools, Jake Kinsella, Harry Mirzen, Michael Fitzgibbons and Maxwell Salvadore

College students have too many bad choices. We make a bad choice for them with mobile one-click random food delivery.

Lost & Find

Made by Nawach Kuptimanus, Hsin Hung Wu, Paschal Igusti and Kenneth Kim

A lost and found with reward system similiar to bounty hunting.

aesthetify

Made by Niklas Pousette Harger, Lynnsey Martin and Verda Bursal

aesthetify is a web application that graphically models various metrics about any song on Spotify.

InstaReader

Made by Aaron Pradhan, Luke Janik, Peter Teixeira, Diana Sinyukova and Alina Lam

Accessibility for the visually impaired on social media is unacceptable. AI technologies can be used to enhance this. We used machine learning algorithms and data scraping to form full sentences about the media post, allowing the user to generate the best mental image possible.

Debugging is music to my ears

Made by Aaron Elliot, Kevin Liang, Brandon Chen and Ashley Deshields

Make debugging less boring by adding music. Your debugger now has music. Your code is now a dj. You hate your code? Upload a .wav of Friday by Rebecca Black to match.

reCursor

Made by Edgar Maldonado, Dania Alnahdi and Alanna Pasco

reCursor is a Google Chrome extension that allows you to customize your cursor with a theme of icons! There are five different themes that each contain their own set of icons. Every time you click anywhere on your webpage, the cursor will change too!

Stock Stalker

Made by Nikita Uppal, Anjali Thakkar, Mahema Singh and Kyle Sferrazza

An easier way to build an algorithm to trade stocks. Users can easily specify the desired behaviour for trading.

Picspire

Made by John Abreu, Edsel Rudy, Subraiz Ahmed and Jolene Lozano

Have you ever tried taking the perfect picture in a new place but your pictures are never quite as nice as all these Instagram photographers? Well, Picspire is just for you! Picspire is a camera app that presents you with photography inspiration right from Instagram.

Picspire

Made by John Abreu, Edsel Rudy, Subraiz Ahmed and Jolene Lozano

Tasteless

Made by Dora Agali, Caolan Disini and Kamoltat Sirivadhna

Tasteless rates your Spotify library and tells you if you need to reevaluate your choices in music and/or life. Built with Flask, Spotify and Indico API, Tasteless uses “state-of-the-art” Sentiment-Analyzing AI From The Future™ to search the web for music reviews of all your favorite songs, in order to calculate your Music Appreciation Score. If your idea of a fun time is having more things to be insecure about, maybe Tasteless is the app for you.

tARnks

Made by Raymond Huang, Shane Timmerman, Megan Lau and Katie Busemeyer

A multiplayer augmented reality game with tanks and buildings. We found an API that would lets you build a 3d model of a real life city. We wanted to use this technology to reconstruct a city in augmented reality, and explore and destroy that city using tanks, like in the Wii U game, Tanks.

Meme Economy 2.0

Made by Ciarra Peters, Kenneth See Dehui, Avery Peterson, Amal Nazeem and Manas Purohit

We are an analytics platform for meme relevance. Meme freshness is an important metric on the success of a meme. Us as individuals have been very tired of seeing stale memes online; it’s been a huge pain point in our lives, and we never want anyone to have to see a stale meme again.

fan-tastic_food

Made by Jordan Nichols, Paul Stephen Hutchinson Maltaghati, Xavier Ruiz, Gagandeep Kang and Keshav Maheshwari

Web app designed for use in stadiums/arenas. User orders food from vendors online and is notified when it is ready.

exPLAIN Campaign

Made by Katherine Huang

Science communication is all about making big ideas interesting and clear for different audiences. It can be challenging, but everyone’s an expert on some topic, and anyone can practice it! Don’t let me just tell you what science communication is—let the exPLAIN Campaign show you: complex topics in plain words.

BeanPolitics

Made by Adam Fleishaker, Mitchell Dodell, Reese Farquhar, Prabu Gugagantha and Jonah Sander

A fun, educational, and information-rich hub app for all things politics! Want to find out who represents you? Use the Civic Info Hub to become informed on your local representatives and how to contact them! Utilizes the Google Civic Information API & Google Maps Autocomplete API.

DITI

Made by Michelle Lee, Shivani Deodhar, Dhanashri Palodkar and Abhijit Menon

A “To-Do” list application that analyses the sentiment behind your list and plays songs based off of the sentiment.

TL;DR

Made by Skylar Gilfeather, Aya Aragon, Nesanne Mae Tam, Anirudh Kaushik and Vikram Kaushik

A “To-Do” list application that analyses the sentiment behind your list and plays songs based off of the sentiment.

volunTIER

Made by Trevor Stenson, Nithin Saripalli, Rahul Suryadevara and Erin Wang

Essentially it is a fitbit like application for volunteering. This website includes a social aspect to the volunteering.

Yo-setta Stone

Made by Nathan Levy and Sarah Rieger

A web application using NLP to create definitions for slang words based on context from tweets

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