Loader gif

iqigai AI Fellowship Challenge 2026

About the Event

Are you operating at the level of India’s top GenAI minds—or just assuming you are?

The iqigai AI Fellowship Challenge 2026, powered by Fractal Analytics in partnership with Analytics Vidhya, isn't just another online competition. It's a national spotlight on India's best GenAI, AI, ML, data engineering, and analytics professionals—with real projects, direct job interviews, and a verified public rank that proves you belong at the top. Skip this and you skip national recognition, recruiter visibility and opportunities to bag final interview rounds at Fractal Analytics and other leading AI recruiters in India.

Bonus? You also get to win prizes from a cash prize pool of ₹20 Lakh! 

Two intense rounds. Real-world problems. The kind of work that gets you noticed by the companies that matter. Why NOT participate?

 

Why participate?

  • Direct interviews with Fractal Analytics for top performers
  • ₹20 Lakh prize pool split across 1,000 ranked professionals
  • Verified public rank that separates you from the crowd
  • National recognition based purely on what you build and solve
  • Visibility with India's top AI recruiters actively looking for proven talent

 

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

  • Registrations and Round 1 go live on Jan 20
  • Round 2 starts after Round 1 ends on Feb 27
  • 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. Get recognized.

👉 [Take the Challenge]

Participate in Discussion

0/100

0/1000

no comment

Registration Details

00 :00 :00 :00

Till event ends

11418

Registered till now

0

Number of teams

Know where you stand

View Leaderboard

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!

logo

10.4K

Join Now

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!

logo

10.4K

Join Now

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!

logo

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.