Overview

  1. The main objective is to help participants enhance their problem - solving and logic skills . the jupyter notebooks with some tricky / challenging scenarios will be provided , their task is to come up with a suitable solution in order to finish them successfully . a penalty will be imposed if participants seek hints or assistance during the process. The emphasis is on using creativity and problem-solving skills rather than having a lot of knowledge about machine learning.

Rules and Regulations:

  1. ● Code of Conduct:
  2. Participants should focus on solving the ML challenges with ethical and logical reasoning. Avoid unethical practices such as data manipulation or exploiting system vulnerabilities.
  3. ● Judges’ Decision:
  4. The judges will score the participants based on the level of clear and crisp explanation towards the right solution.
  5. ● Code of Ethics:
  6. Participants are expected to uphold ethical standards in all aspects of the event, including code review and debugging.
  7. ● Prohibited Actions:
  8. ○ Participants are not allowed to interfere with other teams' work or hinder their progress.
  9. ○ Participants cannot use the internet
  10. ● Questions and Clarifications:
  11. Participants may seek clarification of ambiguity on any questions from the event organizers.
  12. ● Late Submissions:
  13. Submissions made after the allocated time will not be considered for scoring.
  14. ● Environment Cleanliness:
  15. Participants are expected to keep their workstations clean and organized.
  16. ● Disqualification:
  17. Violation of any of these rules and regulations may result in disqualification from the event.

Judge criterion:

  • Easy question - 10 x 2 - Caught the mistake
  • Medium question - 20 x 2 - Caught the mistake + correct
  • Hard question - 30 x 2 - Caught the mistake + correct idea explained + demonstration
  • Total marks : 120
  • Winners will be determined by total marks and penalties, with priority given to those who
  • demonstrate the best understanding and application of logic and ML to real-world problems in a
  • creative and innovative way.

Co-ordinators

Faculty Co-ordinators

Dr. Soumya B.J , Dr. Meeradevi

Student Co-ordinators

Hrishikesh : +91 8150810442

Prathik : +91 9019099705