We created Alice envisions the future, Digi Girlz in AI Hackathon for high school girls all over the world, to raise their interest in STEM fields and support them in building critical skills for the jobs of the future – collaboration, creativity and innovation, critical thinking and problem solving.
The Hackathon is meant to introduce girls to the world of Artificial Intelligence and Machine Learning, focusing on helping them make the connection between theoretical knowledge and practice. The purpose is to guide them to envision and develop their "AI for good" projects. This is complementary to what high school girls do in school, but a necessary part of education to prepare future-ready girls.
The girls have one mission
To tackle global challenges using Artificial Intelligence, following United Nations Sustainable Development Goals:
• Achieving gender equality
• Reduced inequalities
• Good health and well-being
• Climate action
• Education quality
Every girl will be part of a team of 4-6 students, taking on different roles such as coder, designer, marketer, researcher, business person. They will be guided in their journey by a tech mentor, a business mentor and a design thinker. To equip them for solving the global problems through AI, we structured their learning around Artificial Intelligence & Machine Learning expert talks and workshops, followed by practical prototype building, guided by their mentors:
The girls will learn the method of identifying a real issue and building
a human-centered solution that solves it.
Tech workshops and mentorship
They will learn some basic technology and AI skills that will allow them to implement their ideas.
Any project needs proper business planning to be commercially viable; we will be giving the girls guidance on how to shape their idea business-wise.
Hands on prototype imagining and building
This is the stage when they will finally apply what they have learnt,
because all work and no play would not make this a very fun and enriching event.
And last, they will learn how to pitch their ideas for success.
Previous project ideas
Take a look at the projects developed by the girls in Romania, that renewed our confidence about the world’s future.
The winning team from Romania thought of a pair of glasses for children with autism, who often need support in correctly identifying and interpreting the emotions of people around them. Using Custom Vision, these glasses detect the emotions of people and display them on the lens, helping children to improve their interactions and thus their mood.
Another team thought about taking Climate action and designed a smart trash bin that facilitates selective recycling and collection. Mister Bin, as it was called by the young contestants, sorts out the scraps left, using Artificial Intelligence to identify the type of garbage and to redirect it to the appropriate compartment.
An application for Abusive Behaviour Identification. It uses Facial Recognition to identify students' facial expressions and emotions, further informing school leadership about student’s emotional status. Whether it is sadness, frustration or anxiety, students can receive the support they need from empowered school leaders who come in possession of this information. The application is intended to help alleviate social anxiety caused by bullying.
An app that uses image recognition and barcode scanning technology to identify different products. Once a product is detected, the app instantly suggests healthier and more environmentally friendly alternatives. Focedo uses a recommendation engine to personalize its suggestion for the user. The goal is twofold: raise awareness about the product’s environmental impact and help users lead a healthier lifestyle. It also offers quick access to the ingredients in each product.
A project focused on reducing food waste among Polish families. The solution is an app that allows users to take photos of the items in their fridge and, with the use of an AI, make a record the family’s food supplies. The app will then use that data to suggest different recipes based on the already available ingredients, and will provide a shopping list for any missing items. The team chose to partner with a supermarket franchise, to support their corporate policy of “zero waste” by making the app available to all of their online shoppers. In exchange, they received a revenue share of .005%, which allowed them to finance the development of FoodWeb.
A machine learning algorithm that monitors the apps on your phone and gives you an overview of your online activity throughout the day. Based on the gathered data, the algorithm highlights unhealthy patterns and motivates the user to change their behavior using achievement badges as a reward. You can share the app with your friends and follow their progress. The algorithm will also do a sentiment analysis of your texts, labeling each exchange as either positive or negative. This, along with a continuous face scanning feature to be added at a later date, will enable the user to track their mood in relation to certain apps and people.