Inspiration
Extracting insights from customer conversations is tough. I just want to yap instead.
What it does
It forms transcriptions and then combines emotion recognition models and named entity recognition models at the correct timestamps.
How we built it
Amalgation of APIs for transcribing -> emotion detection + named entity detection -> merging with transcriptions at timestamps
Challenges we ran into
The best models are closed source and need to contact agencies to request access to them. Takes forever. We need to make our own for freedom's sake🏴☠️
Built With
- edenai
- python
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