Actor/Actress Recognizer is a software application that is used to identify actors and actresses from an image.
Imagine you are watching a movie on your computer and on your favorite media player and an actor/actress grabs your attention. They might be pretty or have great acting skills and you want to find more about them. Considering you are not using netflix or other streaming services where you can search actors names in the application, the usual method would be searching the movie you are watching in imdb page and search for the actor in the casts section. After finding the actor, you click on their name and view their biography page. But is there any way this process can be minimized?
To solve the above problem, Why not take the actor's image directly from the media player and perform some facial recognition process to identify the actor's name and imdb page url to open in a web browser, thus reducing the process. To make this idea a reality i had to find solutions for problems like finding a way to take pictures from media player, building the facial recognition system, gathering actors/actresses information (names and biography page urls) and building a simple user interface. All of these problems are addressed in the documentation page.
I've learned many things from this project. Some of them are mechanics of facial recognition, data gathering, web scraping, webserver coding in python etc... The application is written in python and java.