Pulse

Complete analysis of audio conversations.Best tool for analysis of customer support calls for insights,sentiments, ranking, prioritizing accordingly.Taking customer service to the next level with Pulse.

Live URL : https://pulse-data-app.netlify.app/ For testing please upload audio files less than 1 min in wav format.Currently our server is not able to handle large files.(Please make sure your audio file is in wav format and is less than 1 min in duration)

Features

Upload Audio conversations
Get topics, key words and ideas related to the conversation
Get sentiment analysis of the conversation
Get Summary of the conversation

Applications

Customer care can use this data to prioritize customers
Improve customer service
Gain insights
Easy analysis

How we built it

Backend - Node.js,express.js
Frontend - React.js
Cloud - Heroku and Netlify
Modzy AI Models

List of Modzy AI Models used

Text Summarization (https://app.modzy.com/models/rs2qqwbjwb/0.0.2)
Sentiment Analysis (https://app.modzy.com/models/ed542963de/1.0.1)
Text topic modelling (https://app.modzy.com/models/m8z2mwe3pt/0.0.1)

Workflow

Tech Stack

Tech STack

How to use it

Use it on the Live website
- Go to https://pulse-data-app.netlify.app/
- Signup/Login and upload a sample audio conversation to get insights and more.(Sample audio -- Link)
- upload the audio on our website and wait to get the results. Voila that's it.
To run it locally
- Download the source code from the GitHub link provided
- In the root folder npm start to run the backend server
- In the client folder npm start to run the frontend.
- Now you can view the Application running on localhost:3000.
- You will need to provide your own MongoDB and Modzy API keys and credentials to make it run locally