About Awesome Mask Detector

We’re here to guide you safely through the pandemic!

We are a team taking part in the Le Wagon`s Data Science Bootcamp. As our final project we created our Mask Detection Model, which aims to help getting the pandemic under control.

First the model detect faces with Blazeface, then we created and trained a custom CNN model with three layers to make to predict and classify between "Mask Worn Correcly", "Not Worn Correctly" or "No Mask"


Watch the demoday

Get to how we built this project and which models we used.
Understand our APIs.

Our Team


Fernando Jardim

Passionated community and innovation manager +8 years of experience. Despite running my own travel tech startup (Tripr) I am one of the co-organizers @ Coworking Thursdays, also in charge of partnerships at Creative Mornings Lisbon and one of the community leaders at 351 (the Portuguese startups community).


Marc Higgins

I am a fourth year medical student at the Charite in Berlin. In order to shape the workspace of future doctors utilizing AI and Data Science , I singed up for the LeWagon bootcamp. The bootcamp taught me how to process and investigate large amounts of health data and how ML algorithms help to gain significant insights about the patient health status.


Adriano Dupraz

Half-Swiss/Half-Brazilian entrepreneur looking to expand my horizons. I studied Hospitality management and built/operated businesses in Brazil, Colombia and Switzerland. I attended Le Wagon in my journey of keeping up to date with our ever evolving world. Face Mask Detection Project was the final challenge of this course and we had a great time solving it!


Emanuel Müller

My name is Emanuel and I have just finished my bachelor in business administration in Madrid. In my first year I have started a start up with a friend regarding the parking spot situation in Munich. Now i have been involved in the Le Wagon Data Science Bootcamp in Lisbon. As part of this course I have been working on the Face Mask Detection Project