Machine Learning / AI Coding Competition

Posted on

It will be Machine Learning / Artificial Intelligence based coding competition. Where candidates will be given a problem and a related dataset. They will then be asked to solve the problem and build a model. Then after completing their model they will need to submit prediction accuracy of their model for train data and test data.

After that their model’s accuracy will be tested by us using a separate test data, which will be only given to the examiner. And based on that prediction value the candidates will be evaluated and overall ranked.

Eligibility criteria

  • Participants should be university students currently (Participation of Non-UET Students are also allowed).
  • Participations from Female Students will be strongly encouraged.
  • A simple application form is to be filled by applicants.
  • Applicants should at least know basics of Python and ML.
  • Participation Fees: There will be no participation fees of the event.

Team Member Rules

  • Submissions will be entered as individuals only.
  • Participants must be no more than thirty (30) years old, as of December 1, 2022. Proof of date

Team Registration Process 

  1. Initial Registration will take place via a Google Form for the event.
  2. Participants would be asked to pre-register before the competition.

Competition Rules

  1. A problem will be given to the candidates along with a dataset.
  2. All candidates will be given the same problem and dataset.
  3. Only Lab Computers will be used any external device will not be allowed.
  4. Usage of Internet will be allowed.
  5. Candidates will not be allowed to contact any person.
  6. All candidates will need to submit their trained model along with prediction values.
  7. A candidate can submit more than 1 model and predictions with in the given time.

Any Documents required by Candidates to submit before event

A simple application form will need to be filled by candidates.

Judging Criteria

The Participants will be judged on the basis of the following:

The accuracy of their model based on the specified Test Data.

Contact Person in case of any query

Arslan Siddiqui  ([email protected])

+923094334504