This is a submission for the AssemblyAI Challenge : Sophisticated Speech-to-Text.

What I Built

Sum-Meet-Script is a Next.js-based web application that transforms meeting audio into actionable insights. This tool leverages AssemblyAI's Universal-2 Speech-to-Text model to provide speaker diarization, generate transcripts, and summarize meeting content. It’s a seamless way to save time and stay organized.

Demo

Live Demo: Sum-Meet-Script
GitHub Repository: Sum-Meet-Script on GitHub
Screenshots

Journey

Sum-Meet-Script integrates AssemblyAI's Universal-2 model to deliver accurate, feature-rich transcription and summarization. Here's what makes it special:

1. Speaker Diarization:
   Each part of the transcript is tagged with the speaker’s identity (e.g., Person 1, Person 2), making it easier to follow conversations.

2. Transcript and Summary Generation:
   Users can upload a meeting audio file to generate a detailed transcript and a concise summary of the key points.

3. Downloadable Outputs:
   Both the transcript and the summary can be downloaded as .txt files for future reference.

Tech Stack

• Frontend: Tailwind CSS and Material UI for a clean, responsive user interface.

• Backend: Next.js for server-side rendering and API handling.

• AI Model: AssemblyAI Universal-2 for transcription and summarization.

Why This Project Stands Out

• Real-World Application: Perfect for busy professionals to document and summarize meetings efficiently.
• State-of-the-Art AI: Utilizes Universal-2 to ensure high-quality transcription and summarization.

Closing Thoughts

Sum-Meet-Script is designed to simplify how we process and document meetings, making it easier to focus on the discussion rather than the details. By combining the power of AssemblyAI’s Universal-2 model with a user-friendly interface, this project showcases the incredible potential of AI in solving everyday challenges.

Try it out and let me know what you think! 😊