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AI (Project) Manager


Table of Contents


  1. Introduction
  2. Features
  3. Future Enhancements
  4. FAQs

Introduction


The AI Scrum Master/Project Manager is a virtual assistant designed to join and manage your online meetings, capture all conversations, transcribe them into text, and integrate with project management tools to create and assign tasks automatically. This document provides a comprehensive guide to setting up, using, and developing the AI (Project) Manager.


Features


Meeting Integration: Joins meetings on Google Meet, Skype, and Microsoft Teams.

Audio Capture: Records audio from meetings.

Speech-to-Text Conversion: Transcribes audio to text.

NLP Analysis: Extracts key points, action items, and decisions from transcriptions.

Summarization: Provides concise meeting summaries.

Project Management Integration: Creates and manages tasks in tools like Jira and GitHub.

User Interface: User-friendly interface for accessing meeting summaries and managing tasks.


Future Enhancements


Real-time Transcription: Implement real-time transcription during meetings.

Voice Commands: Enable interaction with the bot using voice commands.

Multi-language Support: Add support for multiple languages.

Sentiment Analysis: Analyze the sentiment of discussions to gauge team morale.


FAQs


How accurate is the speech-to-text conversion?

The accuracy depends on the chosen speech-to-text service and the quality of the audio. It's recommended to use high-quality microphones and ensure a quiet environment for best results.

How is data privacy ensured?

All captured data is encrypted and stored securely. Access is restricted to authorized users only. Ensure compliance with relevant data protection regulations.

Can the bot handle multiple meetings simultaneously?

Yes, the system is designed to scale and handle multiple meetings simultaneously


Contribution Guide


step 1

Fork this repository Fork this repository by clicking on the fork button on the top of this page. This will create a copy of this repository in your account.

step 2

clone this repository Now clone the forked repository to your machine. Go to your GitHub account, open the forked repository, click on the code button and then click the copy to clipboard icon.

Open a terminal and run the following git command: git clone "url you just copied"

step 3

Create a branch

Change to the repository directory on your computer (if you are not already there):

cd manager

git checkout -b branch_name

Make necessary changes and commit those changes

git add .

git commit -m "what you did"

git push origin

then go to the github repository which you have forked, go to pull request section above and raise a PR

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