Inspiration
After watching too many hours of Netflix, wondering where we recognized actors from, we were inspired to create this chrome extension.
What it does
This extension takes an instance of a movie the user is watching, identifies the actors in the shot using a machine learning algorithm and the IMDb api, and returns the name of these celebrities, along with links, previous movies, and fun facts about them.
How I built it
This extension was built using primarily Javascript for the front end and python for the back end. Finally, we used Google Cloud platform to integrate the two ends.
Challenges I ran into
We ran into challenges with integrating the back end with the front end. Our original plan was to use Google Cloud functions but this did not work out when our Python code and required libraries added up to over 100MB(compressed).
Accomplishments that I'm proud of
We are very proud that we could produce the code for an almost fully functional chrome extension as none of us had any experience coding one before. Learning how to web scrape and creating a unique program to pull information from IMBd.com was also a hard challenge that we are proud to have overcome!
What I learned
After attending Github/open source and chrome extension workshops, we felt much more prepared when coding our project. Both workshops were very well done and laid down the foundation to a great chrome extension.
What's next for ActorTracker
We would love to get this extension running flawlessly in order for users to be satisfied with the results. Additionally, expanding our extension to accommodate more users (and make sure we do not crash IMBd with too many requests) would be an exciting challenge to tackle in the future.

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