Deadline: May 8, 2020
The Centre for Development of Advanced Computing (C-DAC) under the aegis of the National Supercomputing Mission (NSM), a Ministry of Electronics & Information Technology (MeitY) and Department of Science & Technology (DST) initiative, in association with NVIDIA & OpenACC, are pleased to announce the SAMHAR-COVID19 Hackathon 2020.
Pandemic outbreak such as Coronavirus outbreak can create huge challenges for the Government and Public Health Officials to gather information quickly and coordinate a response. In such a situation, Artificial Intelligence (AI) can play a huge role in predicting, minimizing and stalling its spread of the virus.
This opportunity will enable researchers to find solutions for Identifying, Tracking and Forecasting outbreaks of COVID19 and Facilitating Drug Discovery as well. The intention behind this hackathon is not just to solve current Covid-19 situation but to prepare the research community to make use of HPC-AI tools and keep ready to predict outbreaks like this.
Awards
- In Round-1, the selected Innovative Implementable Idea (I3) Award entry (irrespective of the number of members in the team) will be rewarded with Cash Award of Rs. 10,000 (Rs. Ten Thousand) each and a ‘Certificate of Appreciation’.
- In Round-2, the Top 6 Innovative Implementable Idea (I3) Awards will be given away by C-DAC under NSM as described below:
- Outstanding Innovative Implementable Idea (One Award):
- Award will consist of a ‘Citation’
- A Cash award of Rs. 2,00,000.00 (Rs. Two Lakhs only)
- Free 500 Hours* of CPU-GPU Computing Credits along with up to 200TB Storage on PARAM Series of Supercomputing facilities established under NSM and the 100 AI PF PARAM Siddhi-AI Supercomputer connected through NKN;
- Excellent Implementable Idea (Two Awards):
- Award will consist of a ‘Citation’
- A Cash award of Rs. 1,00,000.00 (Rs. One Lakhs only)
- Free 300 Hours of CPU-GPU Computing Credits along with up to 100TB Storage on PARAM Series of Supercomputing facilities established under NSM and the 100 AI PF PARAM Siddhi-AI Supercomputer connected through NKN
- Promising Innovative Implementable Idea (Three Awards):
- Award will consist of a ‘Citation’
- A Cash award of Rs. 50,000.00 (Rs. Fifty Thousand only)
- Free 200 Hours of CPU-GPU Computing Credits along with up to 50TB Storage on PARAM Series of Supercomputing facilities established under NSM and the 100 AI PF PARAM Siddhi-AI Supercomputer connected through NKN.
- Outstanding Innovative Implementable Idea (One Award):
Eligibility
- Open to Researchers, Academicians, MSMEs, Startups and Industries with an objective to bring out Innovative and Implementable Ideas for Prediction, Forecasting and Building Healthcare Models that could revolutionize the way we interpret science of pandemic outbreaks using AI technology on Supercomputers.
Terms of Participation
- Participants can update submissions multiple times till the Registration End date.
- Each entry can be submitted by a Team comprising of minimum 3 and maximum 5 members (Including the Team Lead).
- Participants will have to share the complete work activities with C-DAC. And C-DAC will have right to use the submitted application/solution for SAMHAR-COVID19 programs.
- The Award will be given to the Selected/Winning Entry irrespective of the number of members in the Team (members may choose to distribute the amount among themselves).
- The decision of the Eminent Jury on the I3 Award will be final and binding.
- Award can be for the Team/Company/Institution, as submitted in the Application and cannot be changed later.
- Submissions will be considered void if they are in whole or part ill-eligible, incomplete, damaged, altered, counterfeit, obtained through fraud or late submission.
Application
Make sure you go through the problem statement in detail before applying.
Application forms are carefully reviewed to and decisions are taken based on the fields entered during the registration for event. If reviewers note that some of the fields entered does not look valid like email id, profile details, unique team members etc. they may reject the application.
For more information, visit SAMHAR-COVID19 Hackathon.