Highlighted - An app for students by students

Inspiration

The first idea of our app was: Analyze a handmade text and convert in text, but was very difficult and for this reason we thought and app for students. What is the main problem of a student? A lot of students highlight their notes and after the lessons write all the main part...well why not use an app? This is Highlighted

How I built it

All components of our app are native, but the main work of our app is the Machine learning. We training a machine learning that recognize an highlighted text and translate the image in a text, more easy than write all.

Challenges I ran into

Our main challenge was the machine learning, how work Visionkit? How work Core ML? and how we can use this technologies together? We have studied a lot of stuff and for this reason now we have this app (Is work in progress)

I'm proud:

I'm proud of this application because was very hard to create and very hard to implement, I'm proud of the collaboration of my team

Next step:

The next step is create a better Machine learning and after this some new UI and published in Appstore

Team Member

Ideas: Anthony Pizzano, Vincenzo Raucci, Denys Pashkov, Delia Cavalli, Marco Pistillo Coding: Denys Pashkov (Back End), Delia Cavalli (Front-end) UX Design: Anthony Pizzano, Vincenzo Raucci UI Design: Vito De Bellis