We noticed how professors are not able to keep track of the attention of their students in class the same way they could in person.

What it does

Our goal is to develop a program that will analyze the face expression of each students and give real time feedback to the professor. Once in the class the camera goes on. Professor will not have any student in the main screen The feedback will allow the professor to adjust the teaching styles accordingly

How we built it

We used Google cloud vision API

Challenges we ran into

It was hard to connect the concepts in the backend like the image to the API.

Accomplishments that we're proud of

We figured out a possible solution to many professor's problems.

What we learned

We learned how to implement the cloud vision API

What's next for FaceBoard-19

Hopefully a more streamlined version.

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