Hackathon summary video
We welcome you to join us for a 3-day Sustainable AI Hackathon that we are organizing together with Swiss AI Association. At this event, we'll work with you side by side in creating innovative solutions to solve the global problems people face today.
The hackathon starts on June 10th and finishes on June 12th. Over the weekend you will have the opportunity to learn from AI experts during their presentations and roundtable. Event ends with teams presenting their solutions. We encourage you to join our Discord server to connect with others and to stay updated.
The main theme of this event is sustainability. We will attempt to answer the following questions:
What is the role of AI in sustainable development?
How does AI save the environment?
Can AI ever be environmentally sustainable?
What is Green AI?
Why is it important to make technology sustainable?
What are the advantages of adopting responsible AI by an Organisation?
During the hackathon, you will put your skills to the test with one of three challenges:
Ethical AI & Decision Making
Develop methods that will predict the energy consumption of buildings, cities, etc. which will enable energy producers to plan ahead.
Is the proposed Investment Strategy Sustainable? Does it align with the ESG (Environmental, Sustainable, Governance) rules?
Cybersecurity in Fintech
Given a test set of coins/tokens train a model to detect the scam ones. Performance Criteria: Percentage of correct detection.
The Participants will be provided with the starter Datasets to use. Bonus points if you are using your own dataset, or if you upgrade the proposed problem.
Previous experience in AI is not required. While many participants are industry experts, we also welcome people with other types of domain knowledge that want to understand & explore how AI can be used in their fields.
Participants will get 25$ AWS Cloud credits. (You need to check in to Swiss AI Association Discord channel to claim the credit.) and AWS Sagemaker Studio Lab direct access (You need to check in to Swiss AI Association Discord channel and provide us with your email at the registration.
About Swiss AI Association
Founded in 2020, the Swiss AI Association represents the interests of the Swiss AI industry. Swiss AI Association is a globally growing network of professionals interested in applications of AI, the latest academic research, business cases, investments, and access to the worldwide community of experts.
Who can join the Hackathon?
Anyone who is interested in AI is welcome to join. The presentations on Saturday from 10:00 - 13:00 are meant for the general public, and the hackers/programmers will have almost 2.5 days to prepare their solutions.
In addition to AI/tech industry experts, we also welcome people with other types of domain knowledge. Building successful AI solutions requires more than just technical expertise; we also need domain knowledge from other industries, it’s a key component to identify valuable solutions and business cases.
Can I join even if I am a beginner in AI development?
Definitely. We will have a special introductory session to the AWS development environment on Friday afternoon, and all teams will be able to use the starter notebooks, with pre-loaded datasets, to speed up the development process.
Are there any benefits for the participants?
All participants in the Hackathon (registered attendees for the presentations or the coding challenge participants) will get a cloud voucher from AWS worth 25 USD. The best teams will get special rewards.
Do I need a team?
You are welcome to join as a team or solo, if solo you will then be assigned to a team. We encourage you to look for a team before the event. We recommend you to join the Deep Learning Labs Discord channel: https://discord.gg/gCuBwBB35k and posting in the #looking-for-team channel to get to know your potential future team members
Do I need a Github account?
It is recommended, that at least one team member has a Github account. You can create one for free if you don't already have one.
Is there any prize for the winners?
Amazon Echo One for the Winner Amazon Echo Dot for the podium teams
I have other questions.
Feel free to reach us on social media, by email ([email protected]), or through our Discord channel: [https://discord.gg/V5ErNkp6Q5).
- To be announced
Submitted concepts, prototypes and pitches
Submissions from the teams participating in the Sustainable AI Hackathon event and making it to the end 👊
I decided to study the impact of earthquakes in my country (Chile) and how to mitigate it. For that I came up with an idea called "Earthquake Guardians". It implies that some people (suscribed to a specific Twitter account) will look at the messages sent of earthquake alarms and decide to confirm or deny such alarm. The account will send messages based on a deeplearning model trying to predict earthquakes by using the Grillo open database https://registry.opendata.aws/grillo-openeew/. Since earthquake prediction can be tricky, we count on these guardians to let us know if the earthquake predicted is real or not (and in the process, label the data for future training). Of course, earthquake prediction is not a new idea, but with the guardians and their help, it can create a better system with constant feedback. Also, in highly seismic areas (like Chile) the smaller earthquakes could also be detected and taken into account for future training of the model. I wanted to mix the idea of deeplearning prediction in python, with the Twitter solution like this one (https://blog.twitter.com/en_us/a/2015/usgs-twitter-data-earthquake-detection). Sadly, I didn't have enough time but to only do some EDA with the data.
An app that lets you reduce waste by allowing the sharing of excess foodDEMO: https://share.streamlit.io/diegobiagini/saia_hackaton/main.py
The Next Convolution
Bitcoin Transaction Fraud Classification
This is a Bitcoin Transaction Fraud Classification project Based on Elliptic Dataset provided by Elliptic Ltd. a London - based Blockchain analysis provider. Here is our Deployed Application link: https://share.streamlit.io/alihussainia/swissai/main This Project is built using Python based libraries. For data pre-processing we have used NumPy and Pandas, for data visualization we have used matplotlib and seaborn, for development we have used PyCaret and finally for web-development we have used Streamlit and StreamlitCloud. The Elliptic Dataset is a graph network of Bitcoin transactions with handcrafted features. All features are constructed using only publicly available information. Thank you for your Time and Consideration.
Relation between energy consumption and CO2 emission
One of the main source of greenhouse gases is heavy industry. Although industries are the driving forces of the economies, here we question how those industries and companies in them achieve to be fuel of machine called economy. In our concept we aimed to find relation between energy consumption and CO2 emission. Using this pattern we believe that an organization's environmental impact can be evaluated, which might be implicit. In the meantime, we are aware that our concept can be base for further studies, but cannot be definitive at this stage.
Teams: Sustainable AI Hackathon
Check out the roster and find teams to join