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Meetingmind
Overview :
MeetingMind is an AI-driven meeting assistant that helps users effortlessly capture, analyze, and execute meeting insights. The project utilizes Langflow, Next.js, and a Groq-based transcription service to analyze meetings and generate insights. According to product background information, MeetingMind aims to enhance meeting efficiency by automating the extraction of key information from meetings, such as tasks, decisions, and issues, thereby reducing the time spent on manual note-taking and subsequent organization. Key advantages of the product include AI transcription, automatic extraction of key information, and an easy-to-use interface. The product is currently open source on GitHub, allowing users to utilize it for free.
Target Users :
Target audience includes enterprise users, team leaders, and project managers who need to conduct meeting notes and analysis. MeetingMind is suitable for them as it automates the process of recording meetings and extracting information, saving time and enhancing efficiency, enabling users to quickly access key insights from meetings and take action.
Use Cases
Corporate teams use MeetingMind to analyze weekly team meetings, extracting action items and decisions.
Project managers utilize it to document and review project status meetings, ensuring all participants are aware of upcoming tasks.
Remote working teams leverage MeetingMind to organize key points from cross-timezone meetings, improving communication efficiency.
Features
Audio recording and file upload: Users can directly upload audio files for analysis.
AI-driven transcription: Automatically transcribes audio files using Groq Whisper technology.
Automatic extraction of key information: Including tasks, decisions, issues, insights, deadlines, participants, follow-up actions, and risks.
AI workflow management based on Langflow: For managing and optimizing AI processing workflows.
Web application built with Next.js: Provides a fast, responsive user interface.
Styled and animated using Tailwind CSS and Framer Motion: Enhances the visual appeal and user experience of the interface.
Database management using Prisma as ORM: Streamlines database operations and increases development efficiency.
Supports multiple databases: Default to SQLite, while also supporting other databases like PostgreSQL.
How to Use
1. Visit the MeetingMind GitHub page and clone the project to your local machine.
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2. Install all dependencies using npm install or yarn install.
3. Set up the LangFlow server and upload the workflow files provided in the project.
4. Create a .env.local file in the project root directory and configure the URL for the LangFlow server.
5. Configure the database as needed, using Prisma for database migration.
6. Run the development server using npm run dev or yarn dev.
7. Open http://localhost:3000 in your browser to see the results, and upload audio files to test.
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