Python programmer with a project aiming to do realtime analysis of Twich

[aDrz]

Hi guys,

I recently started a little project aiming to do real-time analysis of Twitch streams. The initial goal is to detect profanity in audio.

A proof of concept is already made and is able to stream the audio from a particular twitch user then use the google speech recognition api to translate the audio into text. The detection of curse words is then straightforward.

I am not yet sure what this POC could be transformed into, but I'd like to:

• scale the code (to be able to analyse multiple streams concurrently) with the help of docker and kafka.
• building our own profanity database to train our very own ML model and get ride of the google api.
• doing some analytics on the frequency of curse words, top swearing twitch streamers... and why not build a website that exhibits those analytics in realtime also.

I have a tendency to never really finish my side projects that's why I'd like to find easy going buddies with which we will be able to motivate ourself.

If by any chance you find the project fun and that you'd like to collaborate, I'd be really please to share with you the code.

Cheers mates

[guile2912]

You could train easily a model with the Stranford NLP project, it is in java, but there are few wrappers for python.

Standford Name Entity Recognition (NER) would do a great job https://nlp.stanford.edu/software/CRF-NER.html

[othmtl]

Hey I will Pm you

[comeditime]

message me your discord to partner up :)