Goal: Come up with ideas and build applications to help the communities in tackling Covid-19 crisis. Sign up form

1. Proposed by Wei Shung Chung: Realtime monitoring of temperature. A way to proactively monitor the temperature of everyone and show a heatmap. Build a REST API to accept geo location and temperature. Users can submit via their phones/web. Users do not need to login. Consider using Twitter.

2. Quick Start Covid-19 Cases Data Exploration Colab Notebook Proposed by Jared Yu: Determine the spread of the disease. For example, I think there are some best/worse case scenarios to consider per country/globally. I think the growth in some places like Italy, Iran, and S. Korea have surprised people. Also try to rank country preparedness and see which countries are in need and what can be done.

3. Proposed by Mennatullah Siam: Build maps for potential places for the spread of the virus. In Seattle it was mainly seniors and in general it was found people with less immune system. So if there is a way we can crawl based on locations of hospital/senior homes/ but also proximity to previous places with infections and tracks of each individual found with a virus + amount of time taken to actually have that virus. Building this heatmap might help them trackdown the virus better not sure the applicability though of the idea. I am guessing already govt in developed countries are doing that. The problem is that these tools are probably private. Community effort to build this open source tool will help underdeveloped countries much more at least as warnings for citizens with lower immune system to stay away from these potential places.

4. Where-To-Buy Project Page Proposed by Wei Shung Chung: Can someone tell me where I can find a mask and any essential items during outbreak/quarantine ? A website driven by communities to post/share infos about the availability of items (Suggested by Anna)

5. Proposed by Wei Shung Chung: A way for parents to know who is sick in the daycare/school. Need more infos and visibility.

6. Proposed by Wei Shung Chung: Scan latest papers about Covid-19 from NEJM, JAMA, Lancent, etc and provide summaries of the papers. Find out the treatment plans per individual types (Suggested by Anna).

7. Proposed by Sambit Das. Handle misinformation

8. Proposed by Aruj Mahajan: Build a knowledge graph aggregating infos from wikipedia, JHU Covid-19 cases dataset and other data sources.

9. Understand and find out more infos about the risk to pregnant women.

10. Proposed by David Selinger: Work on Covid-19 Primers Design: Technical Problems with Existing CDC COVID-19 Primers, and an Improved Set of Primers

11. Proposed by Anna T and Jean-Philippe Monfet: Tracking those who might have come into contact with a newly confirmed case or suspected case, etc

12. Proposed by Anna T: Mobile health project that helps people to keep track of their health conditions, e.g. vital signs, symptoms etc.

13. Train a CT Scan model to diagnose Coronavirus.

14. Proposed by Abhay Agarwal : Develop a mobile application to track locations and path taken by people to reach any destination. Application will raise a red flag advising not to take particular path and in case if somebody is infected but clinically not yet confirmed so at least we can know their travel history to identify other people.

• Quick Start Covid-19 Cases Data Exploration Colab Notebook
• https://github.com/aiformankind/covid-19

• World Health Organization (WHO) Advice for Public
• CDC Coronavirus Disease 2019 (COVID-19) Situation Summary
• World Health Organization (WHO)
• WHO on LinkedIn

• HealthMap
• Coronavirus COVID-19 Global Cases by Johns Hopkins CSSE
• Centers of Disease Control and Prevention (CDC)
• Singapore Covid-19 Dashboard

• Johns Hopkins University Center for Systems Science and Engineering
• Covid-19 Analysis

• The New England Journal of Medicine
• The Lancent: Infectious Diseases
• JAMA Network: Covid-19 Collection

Note: If you wish to keep your idea/project private, please do not enter this hackathon.

By participating in this hackathon, participants agree to be bound by all of the terms and conditions as set out below.

1. Teams must be comprised of 1-5 people.

2. You have to create a public github repository for your entry with the MIT License.

3. Participants are not allowed to enter in projects containing confidential information or subject to the proprietary rights of any person or entity.

By participating in the hackathon, you agree to ALL of the following statements:

1. You understand and acknowledge that your entry/submission in their entirety will become open source (MIT License) and made publicly available to everyone. You agree to make any code produced/submitted for the hackathon (your entry’s github repository) available under the terms of The MIT License and other created works under the terms of the CC BY-SA 4.0 licence. Participant hereby irrevocably licenses all Work Product under the MIT License located at https://opensource.org/licenses/MIT. "Work Product" means all ideas, concepts, proposals, materials, and all other work product of any nature whatsoever, that are created, prepared, produced, conceived, or reduced to practice by Participant solely or jointly with others during the Hackathon. Participant represents and warrants that, to the best of his or her knowledge, the Work Product is and will be Participant’s own original work and does not and will not infringe the intellectual property or proprietary rights of any third party, including, without limitation, any third party patents, copyrights or trademarks.

2. You understand and acknowledge that after the submission deadline has passed, your project (github repository) that has been submitted to the hackathon cannot be deleted or made private. Your project repository will also be featured on the AI For Mankind Covid-19 hackathon github page after the hackathon has concluded.

3. You understand and acknowledge that others may have developed or commissioned materials similar or identical to your entry and you waive any claims you may have resulting from any similarities to your entry.

4. You understand that you will not receive any compensation for use of your entry.

Note: If you do not agree to above and want to keep your idea/project private, please do not enter this hackathon.

1. Respect each other.
2. Do not violate copyrights, trademarks, or other such rights.
3. Observe data protection legislation.

Note: Teams can be disqualified from the competition at the organizer's discretion. Reasons might include but are not limited to breaking the Hackathon Rules or other unsporting behavior.

1. The MIT License
2. CC BY-SA 4.0 Licence

• Chinese Hospitals Deploy AI to Help Diagnose Covid-19
• COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread
• Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
• Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
• Alibaba develops AI system for Covid-19 diagnosis

• AI For Mankind Slack Channel

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