India’s pre-eminent platform to recognize the best talent in AI, Machine Learning & Data Science, brought to you by Univ.AI. The best talent will be selected through hackathons.
All the participants of the first ever Hackathon for the Geoffrey Hinton Fellowship, put in together 6000+ hours of work! We are thrilled with your participation and giving the GHF a stunning start!To thank you & to honour the winners, we invite you to the closing ceremony for the hackathon. We promise a great deal of learning & the opportunity to be a part of a star studded discussion on your careers in Data Science, AI & Machine Learning.
29th May 2021 | Saturday
6:00 P.M. IST
Geoffrey Hinton Fellows will be selected from top hackathon performers on the basis of hackathon scores followed by an interview.
GHF is a community for identifying the top talent in the country from amongst a pool of high potential Artificial Intelligence, Machine learning & Data Science enthusiasts who would like to leverage the knowledge and learning opportunities that the fellowship brings.
Beginner-to-intermediate level Data Science/ AI Hackathons will be held each year
Expert level hackathons will be held each year
Top 5% of all participants, upto a maximum of 30, will be named Geoffrey Hinton Fellows. based on their scores on GHF Leaders List.
The top 5% on each qualifying* college campus, upto a maximum of 10, will be named Geoffrey Hinton Campus Scholars.
Head of Data, Gojek (GoFood)
Former Head of Data Science, PhonePe
Top 10 Data Scientists of India (Analytics India Magazine), Head of Jury, GHF
Chief Data Scientist, Reliance JIO
Visiting Faculty, Machine Learning, ISB
Former VP, Data Science, Ola
Principal Data Scientist, Tech Mahindra
Former Data Scientist, National Security Council Secretariat, Prime Minister’s Office
Twice a year, on every 4th Hackathon, the top performer based on their best 2 scores in the previous 3 hackathons will be awarded a grand prize of ₹1,50,000.
GHF Fellowships and Scholarships are awarded for consistent excellence, and high performance in Data Science and AI.
A GHF Leaders List will be created after each GHF hackathon. After the first three hackathons, a GHF Leaders List will be created based on the participants’ two best scores of the three immediately preceding three hackathons.
Top 5% of participants [max 30] on the GHF Leaders List will be named Geoffrey Hinton Fellows.
The top 5% on each qualifying campus* [max 10] will be named Geoffrey Hinton Campus Scholars.
The most recent list of all Fellows and Campus Scholars will be published on our website.
Fellows and Campus Scholars will get opportunities to work with professors from top global universities including Harvard & UCLA on research, live projects & more.
Geoffrey Hinton Fellows and Campus Scholars will have privileged access to the best career opportunities in the world.
Subsequent Hackathons will be announced at regular intervals. Stay tuned for more information.
Register as a new user on the website itself by giving some basic information like name, college name, and email-id after clicking on Apply button in the Hackathons section. Registration is mandatory for participation.
Team participation is not allowed, you must participate as an individual.
Yes, multiple entries are allowed, but we limit the entries to 3.
Submission for first-round would include & Model codes (notebook), model output on test cases.
You can write to us at email@example.com.
Round 1: Model evaluation metrics score
Round 2: Top 10 participants Interview by Jury members (Final Presentation)
Students are requested to submit their solutions on the web page itself, after logging in by using their credentials. If they are facing any issues while uploading it on the webpage, they are requested to write to us at firstname.lastname@example.org
There are no requirements for a specific software or programming languages. Use tools that you are comfortable with and which will provide an effective solution.
The final shortlisted participants will be invited to present their solutions to the panel of judges through an online medium. Relevant details will be shared.
You will need to have basic knowledge of programming (in any language) and data science.