Hack@CEWIT 2020 Prize Winners

Congratulations to all of the winners at Hack@CEWIT 2020!

 

Top Tier: Best in Show- Undergraduate:  Diego the Dog

Project Description: Diego the Dog wants to take over your phone screen before other distracting apps can do it for you. He is a study companion - a guardian against distractions.

Team Members: Elyas Masrour. Abdullah Nauman, Rohan Nagavardhan, Christopher Moore

School: Stony Brook University

Student Level: Undergraduate

Top Tier: Best in Show- Graduate: BlockSense- The Firefighter's Sidekick

 

Project Description: Firefighters are the heroes we need, now we have the tech to give them a sidekick. Using an ad hoc mesh of IoT sensors, we can feed data from a location on fire to an operations command center/terminal. from where firefighters can determine optimal paths to take in hazardous conditions.

Team Members: Muntaser Syed

School: Florida Institute of Technology

Student Level: Graduate

Best Newbie Hack: Great Potential: Agora

 

Project Description: Agora is an online platform that creates powerful conversations between individuals, wherever they are in the world. Individuals can anonymously submit questions they have, and the platform links these questions with members on the platform most qualified to respond to them.

Team Members: Elston Aw, Kevan Chew, Winni Lee

School: New York University, University of Singapore

Student Level: Undergraduate

Best Social Impact: Good for Mankind: Journaly

 

Project Description:   This is an online journal for indiviudals who want to fight depression.

Team Members: Kang Choon Kiat, Divya Sri Thala, Xiangmin Mo

School: National University of Singapore, Hunter College, Stony Brook University

Student Level: Undergraduate

Machine Learning: A.I. Most Likely to Take Over the World: Bayesian RedList Classification

 

Project Description: There are two major causes of extinction of animal and plant species. It can be because of either the habitat of the species impacted due to several reasons or the loss of genetic variation.  Using this, prediction of the redList status of all the animal species can be studied and analyzed.

Team Members: Mandhara Jayaram, Meet Mukadam

School: Rutgers University

Student Level: Graduate

Best Security Hack: The Future of Safety: Passwordless Ultra Sonic

 

Project Description:   In situations where there is no availability of wifi or cellular network, we have come up with a new technique of data transfer that has been in presence for quite a long time. Passwordless uses ultrasonic sound generated from any device that has a speaker and a microphone. A device seeking authentication starts the process by sending a request message to a mobile device having a token or an OTP.

Team Members: Md Arif, Utkarsh Garg, Vibhor  Shukla, Sumit Agarwal, Payal Mehta

School: Stony Brook University

Student Level: Graduate

Best Use of Blockchain: The Most Trusted: Healthkeeper

 

Project Description: Health Keeper allows hospitals and other healthcare organizations to spin up their own Blockchain through the EOSIO software protocol to log a transaction whenever one of the organizations' physicians or faculty wishes to access patient records.

Team Members: John Adam, Taner Seytgaziyev, Claudia Rodriguez,  Yang Yang

School: Stony Brook University, New York University

Student Level: Undergraduate

Best Dressed:  Ease of Use: SmartSpray

 

Project Description:  Save water while improving quality.  Users get an easy to use IOS app that gives them direct access to the IOT monitoring sensors. From here a user can get an alert on the status of any sensor indicating a problem and use one of the actions such as water plant.

Team Members: Jerry Turcios, Isabel Abonitalla, Vincent Occhiogrosso  

School: Farmingdale State College, Hunter College

Student Level: Undergratuate

Softheon’s Pick: Most Privacy Conscious Hack: Healthkeeper

 

Project Description:   Health Keeper allows hospitals and other healthcare organizations to spin up their own Blockchain through the EOSIO software protocol to log a transaction whenever one of the organizations' physicians or faculty wishes to access patient records.

Team Members:  John Adam, Taner Seytgaziyev, Claudia Rodriguez,  Yang Yang

School: Stony Brook University, New York University

Student Level: Undergraduate

Softheon’s Pick: Most Creative Use of Outside Data: Statistical Machine Learning for Protein Classification

 

Project Description: The knowledge of protein structures helps in the development of new drugs to treat various diseases. We present a statistical machine learning approach to analyze protein sequences.

Team Members: Meet Mukadam, Mandhara Jayaram, Aishwarya Kanchi Ranganath

School: Rutgers University

Student Level: Graduate

Netsmart's Pick: Netsmart Measures What Matters: GaitKeeper

 

Project Description: GaitKeeper is an authentication service that provides a user trust score without user interaction.  GaitKeeper achieves secure and interactionless authentication by learning a user's unique  gait  and combining it with user device history.

Team Members: Mallesh Dasari, Santiago Vargas, Duin Baek

School: Stony Brook University

Student Level: Graduate, PhD

Payfone's Pick: Most Original Use of Payfone API: GaitKeeper

 

Project Description:   GaitKeeper is an authentication service that provides a user trust score without user interaction.  GaitKeeper achieves secure and interactionless authentication by learning a user's unique  gait  and combining it with user device history.

Team Members: Mallesh Dasari, Santiago Vargas, Duin Baek

School: Stony Brook University

Student Level: Graduate, PhD

Viacom's Pick: Best ViaCBS- Tech Hack: Major League Health

 

Project Description: The health insurance companies can provide offers and better insurance policies to customers using data from IoT modules stored in blockchain and consumers can use this data to get better treatment. If you are in an accident, this module can give data that can help in treatment.

Team Members: Lawrence XIAO Delong, Ali Asgar Tashrifwala, Aliasgar Merchant

School: New Jersey Institute of Technology, Stevens Institute of Technology, National University of Singapore

Student Level: Graduate

MLH Pick: Best Use of Google Cloud: Prodict-Machine Learning MVP Prediction

Project Description: Our main functionality is to predict future NBA MVPs based on previous year data that we scraped up which was used to train our models.

Team Members: William Krasnov, Sherzod Nimatullo, Alex Perez-Mendoza, Mark Moawad

School: Suffolk County Community College 

Student Level: Undergraduate

MLH Pick: Best Domain Registered with Domain.com: KevinQuest

 

Project Description:   KevinQuest is a dungeon crawling game focused on exploration and looting. A stamina bar determines how many actions you can take before your game is over.

Team Members: Dimitri Santiago, Manuel Carbajal, Ricky Chen

School: Stony Brook University

Student Level: Undergraduate

 

Thank you to our judges for doing a great job!