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Hack@CEWIT Prize Winners

Congratulations to all of the winners at the 2019 Hack@CEWIT!

 

Top Tier: Best in Show:  United Sensors of America

UnitedSensors-Winners

Project Description: A robot to get objects from other rooms, benefit from facial recognition algorithm to get personalized service and be alerted of presence of unknown people, respond to Google Assistant and use sensors to analyze the environment.  

Team Members: Yevheniia Sozoka, Yu-Jun Ko, Himanshu Patel, Ali Asgar Tashrifwala   

School: Stony Brook University

Student Level: PHD

Most Practical: Great Potential: Pill-Pattern

PillPattern

Project Description: A Pill-Box and paired app to help elderly persons adhere to their medication schedules.

Team Members:Sam Meding, Matt Virian, Ian Costa, Dennis Collins

School:Johnson & Wales University

Student Level: Undergraduate

Most Ambitious: A for Effort: HoneyPot

HoneyPot

Project Description: Modular e-textile based portion controlled jar. Does not allow people to grab more than one health serving size.

Team Members: Donald Finlayson, Brian Thornber, Patrick Wynn, Andrew Zeoli

School: Johnson & Wales University

Student Level: Undergraduate

 

Machine Learning: A.I. Most Likely to Take Over the World: Eddie- Question Answering Dialog Agent

Eddie

Project Description: Ever got stuck solving questions based on reading comprehensions? Now stop worrying, Eddie will solve it all for you!

Team Members: Mitesh Kumar Singh

School: Stony Brook University

Student Level: Masters/Doctoral

Most Health Conscious: Tech for Healthcare’s Sake: Effortless

Effortless

Project Description: Effortless eliminates the patient’s trip to the pharmacy by giving prescriptions at the office using a vending machine.

Team Members: Jamil Kocacal, Gregory Wong, Brandon Hwang

School: Queens College, Stony Brook University

Student Level: Undergraduate

Softheon’s Pick: Most Significant Use of Softheon APIs: SwipeMe

SwipeMe

Project Description: GoFundMe Meets Tinder: Simply swiping right will donate $5 to the person of your choice.

Team Members: Nicholas Mullikin, Yi Zhao, Jeffrey Shi

School: Northeastern University, New York University

Student Level: Undergraduate

Softheon’s Pick: Best Use of Softheon Workshop: Effortless

Effortless-2

Project Description: Effortless eliminates the patient’s trip to the pharmacy by giving prescriptions at the office using a vending machine.

Team Members: Jamil Kocacal, Gregory Wong, Brandon Hwang

School: Queens College, Stony Brook University

Student Level: Undergraduate

ULC Robotics Pick: Best Use of 3D Visualization/Simulation: United Sensors of America

United Sensors-ULC

Project Description: A robot to get objects from other rooms, benefit from facial recognition algorithm to get personalized service and be alerted of presence of unknown people, respond to Google Assistant and use sensors to analyze the environment.  

Team Members: Yevheniia Sozoka, Yu-Jun Ko, Himanshu Patel, Ali Asgar Tashrifwala   

School:Stony Brook University

Student Level: PHD

Viacom's Pick- Best Multimedia Hack: Roombalistics

Roomba

Project Description: A autonomous robot, created with face detection to improve security.

Team Members: Augusto Celis, Alexander Chin, Rahul Sondhi, Yang Yang

School: Stony Brook University

Student Level: Undergraduate

Robotics Course Challenge: Hermes

Robotics

Team Members: John Boccio, Manpreet Singh, Kushal Delhiwala

School: Stony Brook University

Student Level: Undergraduate

 
MLH Pick: Best Use of Google Cloud Platform: CampNav

CampNav

Project Description: Identifying campus buildings for new college students. The app allows a user to take a picture of a campus building in Stony Brook University and the server will tell the user what building it is.

Team Members:Spencer Williams, Jerry Turcios, Kelvin Porter, Jeffrey John Haywood

School: Stony Brook University , Farmingdale State College

Student Level: Undergraduate

MLH Pick: Best Use of Google Cloud Platform: Roombalistics

Rooma-MLH

Project Description: A autonomous robot, created with face detection to improve security.

Team Members: Augusto Celis, Alexander Chin, Rahul Sondhi, Yang Yang

School: Stony Brook University

Student Level: Undergraduate

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

HoneyPot-MLH

Project Description: Modular e-textile based portion controlled jar. Does not allow people to grab more than one health serving size.

Team Members: Donald Finlayson, Brian Thornber, Patrick Wynn, Andrew Zeoli

School: Johnson & Wales University

Student Level: Undergraduate

MLH Pick: Best IoT Hack using a Qualcomm Device: QUACK

QUACK

Project Description: A medical alert system that notifies your loved ones or your caretaker in the event you are hurt.

Team Members: Jared Simmons, Alistair Wilson

School: Johnson & Wales University

Student Level: Undergraduate

 

 

Thank you to all of our judges for doing a great job!

judges

 

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