Inspiration
I was inspired by looking at the amount of data available on Liquidpedia. Initially, I wanted to create a unique way to display the data however after going through that rabbit hole I realized that the data could already be accessed by a majority of people. The people that would really benefit from communicating the data would be the visually impaired, hence my trip down text to speech and voice recognition.
What it does
The application asks the user which league of legends pro they would like to search, and goes through the api and compiles some data to verbally communicate it back to the user.
How we built it
I built it using python and various libraries for text to speech, and voice recognition. I built individual parts in a modular manner and brought everything together at the end.
Challenges we ran into
Asides from learning all the different things needed in this project, some challenges included cleaning the liquid api's data, and getting the voice recognition to sufficiently understand player names.
Accomplishments that we're proud of
I am really proud of all I learnt. I knew nothing about APIs, voice recognition, and text to speech and learning it and implementing it makes me very happy.
What we learned
learned about accessing data via apis, voice recognition, and text to speech.
What's next for Lee Sin learning about LoL players
I hid some bugs as features in this version, so fixing the bugs would be step one. step two would be to apply this to all other wikis.
Built With
- liquidpedia
- python
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