SAMHAR-COVID19 Hackathon

About SAMHAR-COVID19 Hackathon

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, announces the SAMHAR-COVID19 Hackathon.

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.

C-DAC has embarked on a program SAMHAR-COVID19 (Supercomputing using AI, ML, Healthcare Analytics based Research for combating COVID19). This opportunity will provide 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. The hackathon is 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.

The problems related to COVID19 that will be solved during this Hackathon are as follows:

* Drug Discovery and Genome Sequencing: Human Genome is complex and has 3.2 billion base pairs. India became the fifth country in the world to sequence the genome of the novel Coronavirus, or COVID19, and share its data with the international community. Genome data is essential to build tests, find drugs and vaccines.

* Medical Imaging: AI has proven accuracy to detect patterns from Images. Healthcare images like CT provide crucial information and can be used to detect Corona Virus.

* Contactless Monitoring: To Explore Contactless monitoring of the outbreak, to explore usage of drones to help medical staff to transport medical samples and to conduct thermal imaging.

* Surveillance and Monitoring: Use of Computer Vision Techniques to automate monitoring crowd gathering or tracking possible carriers by looking at patterns like sneezing etc.

* Forecasting: Predict the cumulative number of confirmed COVID19 cases in various locations across India, as well as the number of resulting fatalities using various datasets from the states and union territories of India combined with Big-Data information available from Social Media.

* Data Mining: There are more than 44000 research articles on COVID19 already published and the numbers are growing. Use of AI and data analytics techniques to come out with solutions to help the medical community to analyze news reports and online content from around the world to recognize anomalies and predict critical events.

To summarize SAMHAR-COVID19 Hackathon aims to find solutions with the following priorities (but not limited to these only):

* To achieve better (More Accurate) and Faster Turnaround time for Testing and results.

* To identify, track and forecast outbreaks.

* To develop Drug Re-purposing Simulations leading to New Drug Discovery.

* To develop the Simulations/Solutions using Traditional (AYUSH) Medicines.

* To create Chat Bot with multiple regional language supporting Conversational AI Techniques.

* To develop AI based identification of non-complying or infected individuals.

* To create, Train and Deploy Robots to sterilize, Deliver Food and Supplies.

* To deploy Drones to monitor sites, announce policy measures and to deliver medical supplies in the infected regions/areas.

* To enable automation of COVID 19 Health care Claims for Ayushman Bharat Program

For more details and Awards, Terms of Participation and Awards, Timelines & Registration please refer the Official Website :

https://samhar-covid19hackathon.cdac.in/