Hello, I am Heidi Albarazi. I am a computer Science Student at Technical University of Munich and I love programming and designing. I am a campus ambassador at Jetbrains and am member of TUM.ai and TEG (The Entrepreneurial Group). I love arts and design and am a huge fan of App Development.
We built an iOS App that uses a tiktok style recipee recommendation system. The recipees are AI-generated and will be displayed in a how-to tutorial video.
We developed a concept for a smart watch game and app for children to motivate them to stay active.
In this hackathon we tackled the challenge of estimating real time population using satelite data and image processing as well as data analysis. We build a frontend in Streamlit. This use case is especially useful in estimating war population, f.e. in the ukraine.
We built a Progressive Web-App (PWA) in Ionic and React that matches co-workers to a "lunch date". The time and location is set by our app and you will be matched with a person that has a similar personality to you.
We built an iOS App that displays air pollution in Hamburg and shows you educational content on how to deal with air pollution issues.
We built an AR-based escape game that featured an app that runs on the dome inside of the planetarium and an android AR app that you use to solve puzzles.
We built a Progressive Web App (PWA) using Ionic and React that shows you service-jobs in your area which you can earn an Ethereum Token for, called "Karma". The interaction with the Ethereum Blockchain over Metamask is handled with Solidity
We used brain data gathered from an EEG to controll a mechanic hand that is powered by an arduino, with your own thoughts. The hand is made out of cardboard as a prototype
We built a chrome extension that uses AI to detect and explain sexist content. The ai model is trained by ourself. This project enabled us to be finalists at the makeathon.
We built an Android App in Kotlin that displays an animated avatar chatbot that helps elderly people with lonelyness.
We created a pitch and business plan and a prototype in Figma to display the potential of a gamified fitness app
We built an iOS App that lets users attach notes to any building and therefore interact more with the city and community. The texts are then classified using our ai model