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Yet Another Tone Analyser - YATA

Inspiration

Likewise R&D Opportunity + Halloween weekend fun!

What it does

We intended to build a platform that emits customer emotion & facilitate necessary action based on their speech.

How we built it

We build it using

  • Kinesis for Data Stream
  • Flink for Stream Processing
  • ParallelDots for Emotional Analysis
  • webkitSpeechRecognition for Speech to Text Conversion

Challenges we ran into

  • We were new to Google NLP modules, causing technical hiccups here and there. So we shifted to webkitSpeechRecognition.
  • Emotion Analysis using AutoML also posed some challenges. So we shifted to ParalleDots.

Accomplishments that we're proud of

  • E2E flow was completed just a few hours before the end.
  • Project Naming
  • Project Structure
  • Tech choices

What we learned

  • Google API's are something to be explored before a hackathon
  • Some things need a simpler solution

What's next for YATA

Scaling the code for a large user base.

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Yet Another Tone Analyser

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