This project was inspired by my great grandmother who, after immigrating to Pittsburgh from Germany, learned English through watching movies at her local movie theater. While at the time, this was the only way to view movies, technology has now allowed us to view films at home. I wanted to create a program that would make learning new languages through film, as my great grandmother did, easier, and allow for people to practice foreign languages and expand their knowledge through viewing films and creating associated flashcards.

To install first you will need to install the google translate api. To install type in the command
pip install googletrans==3.1.0a0

Then you will need to clone the repository using
git clone https://github.com/efuccio694/Moviebuff-Language-Learner

The user will have to source the .srt subtitle file for the film in the original language. We recommend https://www.opensubtitles.org/en/search/subs to find one!
The user must rename their .srt file to a .txt file in order for the program to function
Example: Amelie.srt -------> Amelie.txt
For testing, we have provided the text file Amelie.txt from the french movie Amelie so you can see how the program operates.

After providing a source srt file, the user will be able to pause the movie, and enter the timestamp in order to translate that line of dialogue into English.

After providing a source srt file, the user will be able to pause the movie, and enter the timestamp. The program will prompt the user for which word in the subtitle they want to create a flashcard for and will create a translated flashcard written in the Flashcards.txt file.

Flashcards will be written to Flashcards.txt in this format: Flashcard Number | Original Text | Translated to English Text

If you have created flashcards using the Flashcard Creator mode, the program will run through them in order for you to practice. Type y to flip each flashcard.

We used Visual Studio Code and a language translation library called googletrans.

We had to brainstorm ways to collect, sort, present the necessary information from a plain .srt file, which led to a lot of messing with formatting and making sure our code didn't go out of range.

The hardest challenge to overcome was to import the data from a subtitle file in a way in which we could compare it to a user inputted time to find the associated subtitle. In this I think we accomplished much and learned a lot about data processing along the way. We are immensly proud of the fact that we created a program that we feel is extremely useful and that we accomplished this on our first ever hackathon.

We learned a lot about processing data and organizing it in a way that is useful. Once we figured this out it created a great base to build features upon. I think each of us learned about our strengths and weaknesses in our programming and what we will need to practice in the future. This is also the first collaborative coding project we have ever worked on which was a fun learning experience. This was our first ever project that we have implemented objects into because we have not learned yet how to do so from classes.

The next thing we would like to add to our program in the future would be a GUI so that Moviebuff Language Learner will be easier to use and more visually appealing. We would also like the program to automate the renaming of the .srt file to a .txt file so that the user will not have to prepare their .srt file in that way before running the program.