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Spardha Hackathon

About the Event

Praxis Business School presents ‘Spardha Hackathon’.

Spardha is an annual business fest conducted by the students of Praxis Business School. 

Spardha provides a platform for students from under and postgraduate colleges to meet, network and compete in a medley of events. This year Spardha is even bigger and better. 

This hackathon is an event of Spardha for the data enthusiasts; a great opportunity for all creative geeks to apply their data science & machine learning skills to solve a complex problem.

 In this Hackathon, you will develop a model for the given classification problem.


Who all can Participate?

  • Open for all data enthusiasts: Undergraduates & Postgraduates 

Rules:

  • Entries submitted after the contest is closed, will not be considered
  • The decision on the winners and runners-up made by Praxis Business School will be final and binding
  • Praxis Business School holds the right to disqualify any participant /team at any stage of competition if the participant(s) are deemed to be acting fraudulently


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Registration Details

148

Total registered

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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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