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Minutes Maker

Preview

Screenshot 2023-12-27 181401 Screenshot 2023-12-27 181414 Screenshot 2023-12-27 181444

Desktop site

Minutes Maker is a web application designed to effortlessly transform audio recordings of meetings into well-organized minutes using cutting-edge technologies. The app leverages Deepgram Nova 2 for accurate audio transcriptions and OpenAI's GPT-3.5 Turbo for generating concise and clear meeting minutes.

Screenshot 2023-12-27 152132

Mobile site

Features

Audio Format Support: Minutes Maker accepts both .mp3 and .wav audio file formats, providing flexibility for users to upload their meeting recordings.

Fast Analysis: The application uses Deepgram Nova 2 to swiftly transcribe the audio content. The results are then processed by GPT-3.5 Turbo to generate meeting minutes, ensuring a seamless and efficient user experience.

Stack and Frameworks

The web app is built using the following technologies:

Express.js: The backend of the application is powered by Express.js, a fast and minimalist web framework for Node.js. It handles server-side logic, routing, and interacts with Deepgram and OpenAI APIs.

EJS (Embedded JavaScript): EJS is employed for server-side rendering, allowing dynamic content generation on the server before sending it to the client.

Multer: For handling file uploads, Multer, a middleware for handling multipart/form-data, is integrated into the app.

Axios: To make HTTP requests, Axios is used. It facilitates communication with the OpenAI API for GPT-3.5 Turbo.

Bootstrap: The frontend is styled and made responsive using Bootstrap, providing a clean and user-friendly interface.

Deepgram SDK: The Deepgram Nova 2 API is accessed using the official Deepgram SDK to transcribe the uploaded audio file.

Google Cloud services: For handling the file storage and hosting the app

How it Works

Users upload an audio file in either .mp3 or .wav format using the web interface.

The audio file is stored in a Google Cloud bucket and is processed from there.

The app utilizes Deepgram Nova 2 to transcribe the audio content, capturing detailed information about the meeting.

The transcribed content is then passed to OpenAI's GPT-3.5 Turbo, which generates clear and organized meeting minutes based on the provided audio transcript.

The final minutes are displayed to the user, providing a concise summary of the meeting's key points.

Getting Started

To run the web app locally, follow these steps:

Clone the repository:

git clone https://github.com/your-username/minutes-maker.git

Install dependencies:

bash cd minutes-maker npm install

Set up API keys:

Obtain API keys for Deepgram Nova 2 and OpenAI's GPT-3.5 Turbo. Update the config.json and google cloud bucket files with your keys:

Run the app:

npm start

Visit http://localhost:3000 in your web browser to access the application.

License This project is licensed under the GPL 3 License.

Feel free to contribute, report issues, or suggest improvements!

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