Intelligent-Meeting-Assistant

Overview

The Intelligent Meeting Assistant is a web application designed to transcribe, summarize, and analyze video meetings. It leverages advanced machine learning models for object detection and speech recognition to provide real-time insights and summaries.

Features

• Real-time Transcription: Transcribes audio from video meetings in real-time.
• Object Detection: Detects objects in the video to trigger specific actions.
• Summarization: Generates summaries of the transcriptions.
• Key Words Extraction: Identifies and lists key words from the transcription.
• Ideas Section: Displays predefined ideas for improving meetings.

Project Structure

Files

• index.html: The main HTML file that structures the web application layout.
• index.js: Contains the main JavaScript logic for handling video processing, audio recording, and interaction with web workers.
• recorder.worklet.js: An AudioWorklet script for processing audio data in real-time.
• whisper.worker.js: A Web Worker script for handling speech recognition using the Whisper model.
• style.css: The CSS file for styling the web application.
• README.md: This file, providing an overview and documentation for the project.

Getting Started

Prerequisites

• A modern web browser that supports Web Workers and AudioWorklets.
• Internet connection to load external libraries from CDN.

Running the Project

1. Clone the repository:

   git clone https://github.com/luciayn/Intelligent-Meeting-Assistant.git
   

2. Open index.html in your web browser.

Usage

• Open the web application in your browser.
• Play the video to start transcription and object detection.
• View the transcription, key words, and summary sections for real-time updates.

Dependencies

• TensorFlow.js
• TensorFlow.js Vis
• Hugging Face Transformers
• Xenova Transformers

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License.