Oracle of Delphi

Build !!

Oracle of Delphi is an AI/ML hackathon which is a part of Enyugma, an annual Techno-Cultural fest organized by IIIT Bhagalpur where developers all over India compete trying to get the highest accuracy on provided datasets.

Link for accessing the datasets:-
https://drive.google.com/drive/folders/1XSRkNYu7958ESknaj6yiDI0G5XmWfrvB?usp=share_link

Guidelines-:

This Hackathon is open to all college/school students.
This is a team challenge. The minimum team size is 1 and max is 3.
The problem statement will be revealed on the day of the hackathon and the dataset could be from the field of Finance, Medical, Business, Environmental Science etc.
The submission will be evaluated automatically.
Participants need to train the model on the provided dataset (obtained from the drive link) and predict on the test dataset given(obtained from the drive link).
The final submission must be in the form of submission.zip file which contains a submission.csv file(which contains predicted target variable) and the source code(ipynb notebook ).
The source code should be written in Python language.
Any publicly available tool or library can be used in the competition.
Use of any external dataset is prohibited and will lead to disqualification.
Any act of cheating or plagiarism will lead to disqualification.
The intellectual property of code/product will belong to IIIT Bhagalpur.
Hackathon organizers reserve the right to amend the rules at any time.
A google form will be released in middle of the hackathon, active participants have to fill the form and mandatory mid-term meet up will be organized.
Winners will be evaluated on averaged out F1 score.
In case of tie the participants will be evaluated in the following order of-: Accuracy, Precision, Quality Of Code and Time of Submission.
Only one submission should be made by individual participant/team.

Our Fest Website-: https://enyugma.iiitbh.ac.in/eventDetail/eventabout.html?search=Oracle%20of%20Delphi

In case of any difficulty contact-:
Ayush Sinha
[email protected]

Harsh Krishna
[email protected]

Shivans Trivedi
[email protected]

Best Of Luck!!

Rules

Follow the Code of Conduct.

Find us on

Build !!

Runs from

Dec 9 - 11, 2022

Happening

Online

Ended

Almost 3 years ago

Oracle of Delphi is an AI/ML hackathon which is a part of Enyugma, an annual Techno-Cultural fest organized by IIIT Bhagalpur where developers all over India compete trying to get the highest accuracy on provided datasets.

Link for accessing the datasets:-
https://drive.google.com/drive/folders/1XSRkNYu7958ESknaj6yiDI0G5XmWfrvB?usp=share_link

Guidelines-:

This Hackathon is open to all college/school students.
This is a team challenge. The minimum team size is 1 and max is 3.
The problem statement will be revealed on the day of the hackathon and the dataset could be from the field of Finance, Medical, Business, Environmental Science etc.
The submission will be evaluated automatically.
Participants need to train the model on the provided dataset (obtained from the drive link) and predict on the test dataset given(obtained from the drive link).
The final submission must be in the form of submission.zip file which contains a submission.csv file(which contains predicted target variable) and the source code(ipynb notebook ).
The source code should be written in Python language.
Any publicly available tool or library can be used in the competition.
Use of any external dataset is prohibited and will lead to disqualification.
Any act of cheating or plagiarism will lead to disqualification.
The intellectual property of code/product will belong to IIIT Bhagalpur.
Hackathon organizers reserve the right to amend the rules at any time.
A google form will be released in middle of the hackathon, active participants have to fill the form and mandatory mid-term meet up will be organized.
Winners will be evaluated on averaged out F1 score.
In case of tie the participants will be evaluated in the following order of-: Accuracy, Precision, Quality Of Code and Time of Submission.
Only one submission should be made by individual participant/team.