Discord Chat Heatmap (Word Cloud)

• About This Project
  • How is this project built?
  • Solution Architecture
• Getting Started
• Usage
• License
• Contact

About This Project

This project aims to transcribe Discord chat sessions from chat participants (speech-to-text). This text will be processed into a word heatmap/word cloud for visualization purposes. The visualization tool is hosted on a static webpage for easy access via the internet.

How is this project built?

This project is built entirely on the Cloud, using Amazon Web Services (AWS). Amazon Transcribe, a speech transcribing service, serves as the backbone of this project. The backend for this project is hosted on AWS Lambda and AWS S3.

The project was developed using these tools:

Solution Architecture

1. User will trigger Craig Bot on Discord. Craig Bot will output a FLAC audio recording of the chat session. User uploads this FLAC audio recording to the Input S3 bucket.
2. FLAC file upload in S3 triggers a Lambda function to initiate the transcription job on Amazon Transcribe. Job parameters are pre-configured via the Lambda function.
3. Upon completion of the transcription job, a custom Event rule on EventBridge will trigger a Lambda function to process the transcript (retrieved from Output S3 bucket).
4. Processed transcript data will be sent to a static webpage hosted in S3. An SNS email notification will be sent to the user to notify them of the job outcome.

Getting Started

Prerequisites

• User must have access to an AWS account.
• User must invite Craig Bot to their Discord server.

Deployment

Solution can be deployed using CloudFormation.
WIP - Include CFN template for deployment.

Usage

WIP - List steps to take as an end user to trigger the solution.

License

Distributed under the MIT License. Refer to LICENSE for more details.

Contact

Owner/Creator: Yi Hao, Wong