AI Hackathon by Accenture
ALLOWED TEAM SIZE: 1 - 5
OVERVIEW
As artificial intelligence (AI) becomes increasingly interwoven into the fabric of our lives—from Alexa providing a daily weather forecast to applying machine learning to better diagnose and treat diseases—there is a growing appetite to harness its power for good. Artificial intelligence is everywhere, growing in its reach throughout society.
As AI continues to rapidly evolve, it’s becoming a partner among people, with unprecedented access and impact on the ways people work and live. At Accenture, we have embraced the potential of AI and other emerging technologies to address societal challenges.
Take a look at some of our case studies:
- Exposing human trafficking networks with AI: Artemis is the world’s first human trafficking content classifier - built with AI. Read more.
- Powering coral reef restoration with AI: Accenture teamed up with industry partners to develop an innovative solution for restoring reefs. Read more.
Click here to know more about Accenture’s AI practice and it’s capabilities.
The theme of the hackathon is "Responsible impact with AI, to make the world a better place". We need you to dive into the depths of AI and develop tools, apps, bots and other advanced solutions. It will need research and your contribution to develop innovative solutions. We also need your decision-making skills and a speedy approach to bring value in shortest possible time. You can participate as an individual or form a team of 1-5 members. Shortlisted teams will also get a chance to get mentored by Accenture SMEs and help the teams prepare for the grand finale.
Join this event from wherever you are, and irrespective of whether you are a student or an experienced working professional. This is your opportunity to compete with best minds and take home some cool prizes.
Note that you are also required to fill in the submission template with your solution.
Are you ready to dive into this ocean of data?
This contest is open to all the students from all the engineering colleges/business schools based in India and all working professionals (except Accenture & HackerEarth employees) in India above the age of 18 (eighteen) years at the time of registration.
THEMES
Overview
For an online crowdfunding platform, the aim is to extend financial services to the poor and financially excluded people around the world. In order to set investment priorities, to help inform lenders, and understand their target communities, the knowledge of each borrower’s level of poverty is critical. However, this requires deriving inferences based on a limited set of information for each borrower.
Task
- Design and build platforms, apps, or a dashboard that showcases useful insights through interactive features. Here are sample ideas to enable your approach:
- Estimate the poverty levels of residents in the regions where the support can be lent.
- Seamlessly connect the needy to their potential donors.
- Allow users to raise monetary funds on the portal.
- Add innovative and useful features similar, but not limited to, the following:
- Reward investors to encourage funding.
- Provide an option for potential investors to ask questions through a comments page.
- Create an exclusive page that lists current investors, acknowledges their contributions, and encourages others to follow suit.
- Integrate social media profiles with the project details page for others to contribute.
Put on your thinking cap to build solutions and features that you believe in!
Resources
- Data Science for Good: Kiva Crowdfunding datasets
- Crowdfunding Data (Reg CF)
- Real Estate crowdfunding sites
- Crowdfunding
Note that you are also required to fill in the submission template with your solution.
Overview
This challenge presents a curated collection of datasets from global sources and asks to model solutions for the below key tasks that were developed and evaluated by a global frontline of healthcare providers, hospitals, suppliers, and policymakers.
Task
Propose and build a solution that can help identify, predict and address pain points similar, but not limited to the sample ideas listed below:
- Predict the following:
- Populations that have the highest risk of contracting Covid-19.
- Possible severity of illness in a particular patient/demographic.
- Identify the following:
- Incidence of Covid-19 infection among cancer patients.
- How the implementation of strategies impacts rates of Covid-19 infection?
Innovate by adding creative and meaningful insights/features that could serve the society during this critical time.
Resources
- Uncover COVID-19 Challenge datasets
- Novel Corona Virus 2019 Dataset
- Data on the daily number of new reported COVID-19 cases and deaths by EU/EEA country
- Data on testing for COVID-19 by week and country
Note that you are also required to fill in the submission template with your solution.
