MeetSync is a cutting-edge meeting assistant that leverages AI to transform the way meetings are managed and reviewed. This innovative tool captures meeting transcripts, generates concise summaries, and highlights actionable points, ensuring that nothing important is missed. MeetSync is designed to make follow-ups and decision-making effortless, whether collaborating remotely or in person. In this blog, we will delve into the tech stack, architecture, core AI features, implementation details, user experience, and real-world applications of MeetSync.
MeetSync is built using a combination of state-of-the-art technologies, including:
Streamlit: A Python library for building web applications, used for creating the user interface and backend logic.
Whisper: An open-source speech-to-text model, used for transcribing meeting audio recordings.
Langchain: A library for building conversational AI models, used for generating summaries and action points.
Groq: A cloud-based API for natural language processing, used for enhancing meeting transcripts.
Resemblyzer: A library for speaker diarization, used for identifying and separating speakers in meeting recordings.
The architecture of MeetSync consists of the following components:
Frontend: A web application built using Streamlit, where users can upload meeting audio recordings, enter the number of speakers, and provide their Groq API key.
Backend: A Python script that processes the meeting audio recording, using Whisper for transcription, Resemblyzer for speaker diarization, and Langchain for generating summaries and action points.
API: A Groq API that enhances the meeting transcripts, making them clearer, concise, and professional.
MeetSync boasts several core AI features that make it an indispensable tool for meeting management:
Speech-to-Text: Whisper is used to transcribe meeting audio recordings, providing an accurate and efficient way to capture meeting discussions.
Speaker Diarization: Resemblyzer is used to identify and separate speakers in meeting recordings, allowing for more accurate transcription and analysis.
Summary Generation: Langchain is used to generate concise summaries of meeting discussions, highlighting key points and action items.
Transcript Enhancement: "llama-3.3-70b-versatile" llm is used to enhance meeting transcripts, making them clearer, concise, and professional.
The implementation of MeetSync involves the following steps:
The user experience and interface of MeetSync are designed to be intuitive and user-friendly. The web application allows users to:
Upload Meeting Audio Recordings: Users can upload their meeting audio recordings in WAV format.
Enter Number of Speakers: Users can enter the number of speakers in the meeting.
Provide Groq API Key: Users can provide their Groq API key to enhance meeting transcripts.
View Meeting Summary: Users can view a concise summary of the meeting discussion, highlighting key points and action items.
MeetSync has a wide range of use cases and real-world applications, including:
Remote Meetings: MeetSync can be used to capture and summarize remote meetings, ensuring that all participants are on the same page.
In-Person Meetings: MeetSync can be used to capture and summarize in-person meetings, reducing the need for manual note-taking.
Conference Calls: MeetSync can be used to capture and summarize conference calls, ensuring that all participants are aware of key discussions and action items.
Podcast Editing: MeetSync can be used to edit and enhance podcast recordings, making them clearer, concise, and professional.
Clone the project
git clone https://github.com/sawantvishwajeet729/meeting_bot.gitt
Go to the project directory
cd meeting_bot
Install dependencies
pip install -r requirements.txt
Start the streamlit app
streamlit run st_app.py
MeetSync is a revolutionary meeting assistant that leverages AI to transform the way meetings are managed and reviewed. With its cutting-edge tech stack, core AI features, and user-friendly interface, MeetSync is an indispensable tool for anyone looking to streamline their meeting workflow. Whether collaborating remotely or in person, MeetSync ensures that nothing important is missed, making follow-ups and decision-making effortless.
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There are no models linked
There are no datasets linked