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Sentiment analysis from the audio
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Talk to the buddy
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A nasty joke
Inspiration
Mental health has been of prime importance since the past few years accelerated by the current pandemic.
What it does
It listens to anyone for any length about anything. It analyzes the sentiment in the user's speech and responds with either a random joke or an inspirational quote.
How I built it
The application is built using ReactJS without any backend technologies. ReactMic library was used to record the voice. Axios makes the REST API call to wit.ai app, fetches the sentiment, and based on the response either a joke or a quote is displayed. Hosted as a static web app in AWS S3.
Challenges I ran into
Javascript events life cycles, wit.ai app training.
Accomplishments that I'm proud of
Clean, simple interface.
What I learned
Wit.ai capabilities.
What's next for eBuddy
Store the user's recordings in the database and display them as text notes in the app.
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