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iqigai AI Fellowship Challenge 2026

About the Event

The hunt for India’s top Gen AI & Data Tech talent is here. Skill-based, nationwide, and built for serious professionals.

 

 

Are you ready to claim your place within the top GenAI minds in India?

The iqigai AI Fellowship Challenge 2026, powered by Fractal Analytics in partnership with Analytics Vidhya, is a national challenge designed to identify and celebrate India’s most exceptional minds in GenAI, AI, ML, data engineering, and analytics.

Participants will compete in a two-round challenge that reflects the real-world expectations of today’s most in-demand roles - from solving complex data problems to demonstrating applied AI thinking.

This is your chance to earn national recognition based on what you can build, solve, and deliver - not where you come from.

 

 

Why participate?

  • Compete with top professionals from across the country
  • Showcase your abilities in GenAI, AI, ML, and data tech
  • Win from a ₹20 Lakh prize pool
  • Gain visibility among top tech employers
  • Build your professional brand with a verified public rank

 

 

Prize Pool

₹20 Lakhs in total rewards:

🏆 Top 3 Winners

  • 🥇 ₹5,00,000
  • 🥈 ₹3,00,000
  • 🥉 ₹2,00,000

🎖 Ranks 4–1000

  • Win from a pool of ₹10,00,000 in cash rewards

 

 

Eligibility Criteria

  • GenAI developers, ML/AI engineers
  • Data scientists, data engineers, analysts
  • Professionals with 2+ years of experience in AI, GenAI, data tech roles
  • Engineering students and freshers are not eligible to participate in this challenge
  • This challenge is open to Indian Nationals only
  • Users need a valid Indian phone number to participate

 

 

How it works

  1. Registrations and Round 1 go live on Jan 20
  2. Round 2 starts after Round 1 ends on Feb 27
  3. Winners of Round 2 will access direct interviews with Fractal Analytics and get visibility from top AI recruiters in India

 

 

Dates 

Overall contest dates: 20th Jan to 8th March
Round 1: 20th Jan to 27 Feb
Round 2: 28th Feb to 8th March

 

Let your work do the talking.
 Join the challenge. Rise through the ranks. Be celebrated.

👉 [Take the Challenge]

 

 

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Registration Details

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Number of teams

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

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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

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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

Join Now

Frequently Asked Questions

Find the answers for the most frequently asked questions

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.

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

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

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.

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.

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.