UOS x AUS - Machine Learning competition on COVID-19 detection

University Of Sharjah
Jan 18 - 25, 1:00 PM (GMT+4)

Inter-university machine learning competition aimed at providing students with experience in applying machine learning techniques to solve real-life problems in the field of medicine.

About this event

Organized by UOS GDSC, UOS ACM, College of computing and Informatics Association , IEEE UOS branch and Student clubs at AUS -> IEEE computer society and IEEE AUS student branch. 

Challenge 1: COVID-19 Detection using X-Ray images (An Image-based dataset will be provided)

Prizes to be awarded to the winners:

• 1st place winner : 600 AED

• 2nd place winner : 400 AED

Challenge 2: COVID-19 Detection using Symptoms (A tabular dataset will be provided)

Prizes to be awarded to the winners:

• 1st place winner : 600 AED

• 2nd place winner : 400 AED


All participants who submitted their results successfully will be awarded a participation certificate.

Winners will be announced on Wednesday, January 26, 2022


Competition Rules and Guidelines

• This competition is restricted to AUS and UOS students only.

• Students can either register as single participants, or in teams of 2-3 members.

• Participants can take part in both challenges, or in one of them.

• If students will participate as a team, then only the team leader is allowed to:

• Go through the registration process.

• Submit the team's work material and files.

• The competition will be hosted on the platform, dockship.io, where both challenges’ information and material will be given. Submissions will also be through the platform.

• All participants that are joining alone, as well as team leaders, must create a dockship.io account to join the challenges and submit their work.

• Follow this link --> https://dockship.io/auth/register to create an account.

• Use your university email to create the account.

• Registered participants will receive an invite to the challenges through the platform, dockship (linked above).

• A link to both challenges’ pages on the platform will also be shared with registered participants via email.

• Be sure to submit your work through the platform mentioned above by January 25, 2022,12:00 PM.

NOTE: Registration will close on Tuesday, January 18, 2022 at 1:00 PM


Organizers