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Linguipedia codeFest Natural Language Processing

About the Event

This contest is closed now. If you want to access the problem statement for practice, please go to thislink.

The Department of Computer Science and Engineering at IIT(BHU) Varanasi is proud to present the fifth instalment of its highly anticipated coding festival, Codefest, that will be held from 31st August - 2nd September 2018.The previous editions have witnessed remarkable success at a global level - from the inaugural edition in 2010 to the rebooted 2016 edition which was especially remarkable in terms of its reach.

A look back at Codefest’17:
11,872 unique visitors
10,267 registrations
10,568 participants
97 countries
INR 475,000 Prize Money

This year we bring you another jam packed Natural Language Processing event - Linguipedia, with prize money worthINR 50,000for the grab.

Top3rankers of the hackathon will be awarded

  • 1stPrize -‎INR 20,000
  • 2ndPrize -‎INR 15,000
  • 3rdPrize -INR 10,000
  • 1stPrize in IIT (BHU) Varanasi - INR 3.500
  • 1stPrize among 1st/2nd yr IIT(BHU) - INR 1.500

Contest Guidelines

  • Every individual(student/professional) is eligible to take part in the event.
  • One person cannot participate with more than one user accounts.
  • Appropriate taxes will be applicable on the prize money.

Tools

  • You are free to use any tool and machine you have rightful access to.
  • You can use any programming language or statistical software.

Team formation

  • Click here to view process flow for Team Creation
  • Maximum of 2 people can form a team.
  • In case a team wins, prize would be distributed equally among team members.
  • Team once created can’t be dissolved.
  • Teams can’t be merged.

Participate in Discussion

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Registration Details

614

Total registered

32

Number of teams

Know where you stand

Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.

Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.

There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.

In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.

Depending on the type of competition, you can participate individually or in a team.

Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.

AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

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