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AI/ML v1.0.0 Advanced

MeetIQ

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Most meeting notes are either forgotten or buried in someone's inbox. MeetIQ fixes that — upload any meeting recording or transcript and get a structu

Technologies & Skills

React.js FastAPI MongoDB Langgraph Python
INR 18,100

One-time purchase

MeetIQ is a production-ready AI-powered Meeting Intelligence Platform that includes secure JWT authentication, audio/video transcription, speaker diarization, multi-agent AI analysis, semantic search using Retrieval-Augmented Generation (RAG), and a modern React + FastAPI architecture. The purchase includes complete source code, project documentation, installation guide, API implementation, database integration, and deployment-ready structure. The codebase is modular, scalable, and well-documented, making it suitable for learning, academic use, customization, or commercial product development. Basic setup support and documentation are included to help buyers deploy and understand the project efficiently.

What's Included

Complete Source Code
Documentation
Project Report
Presentation Slides
External Download Link

Support & Customization

Support: None
Custom modifications not available
File Size 24.78 KB
Last Updated Jun 27, 2026

Resource Links

Purchase this project to unlock source and premium resources. Document/report remain secure preview-based on this page.

MeetIQ is an AI-powered meeting intelligence platform that transforms meeting recordings into structured, searchable, and actionable insights. The platform enables users to upload audio, video, or transcript files, automatically transcribes conversations, identifies speakers through speaker diarization, and generates accurate speaker-labeled transcripts. It also allows users to rename speakers for better readability and organizes meeting data in a secure and user-friendly interface.

The platform is built using React.js for the frontend, FastAPI for the backend, and MongoDB for data storage, with JWT-based authentication to provide secure multi-user access and ensure complete user-specific data isolation. Long-running tasks such as transcription and AI analysis are executed in the background to provide a smooth user experience while maintaining scalability and responsiveness.

MeetIQ leverages LangGraph and Groq LLMs to implement a multi-agent AI workflow that automatically generates structured meeting outputs, including executive summaries, action items, key decisions, and blockers. This significantly reduces manual effort and enables users to quickly understand important outcomes from lengthy meetings.

To make meeting knowledge easily accessible, the platform incorporates a Retrieval-Augmented Generation (RAG) pipeline using vector embeddings and semantic search. Users can ask natural language questions about individual meetings or their entire meeting history, and the system retrieves the most relevant transcript segments before generating context-aware answers. By combining speech processing, generative AI, semantic search, and secure full-stack development, MeetIQ provides an intelligent solution for meeting documentation, knowledge retrieval, and decision tracking.


Future Enhancements

- Real-time meeting transcription and summarization

- Calendar integration (Google Calendar, Outlook)

- Live meeting assistant with voice interaction

- Multi-language transcription and translation

- Meeting sentiment and emotion analysis

- Team collaboration and shared workspaces

- Mobile application support

- Advanced analytics dashboard and meeting trends

Known Issues

- Speaker diarization accuracy may reduce when multiple speakers talk simultaneously.

- Processing time depends on meeting duration and external AI API response times.

- Large meeting recordings require additional processing time.

Installation

1. Clone the repository from GitHub.

2. Create a Python virtual environment and activate it.

3. Install backend dependencies using:

  pip install -r requirements.txt

4. Configure the .env file with MongoDB URI, Groq API key, JWT secret, and other required environment variables.

5. Start the FastAPI backend:

  uvicorn main:app --reload

6. Navigate to the frontend directory.

7. Install frontend dependencies:

  npm install

8. Start the React development server:

  npm run dev

9. Open the application in your browser and register a new account to begin using MeetIQ.

Usage

After logging in, users can upload audio, video, or transcript files. MeetIQ automatically processes the meeting by generating transcripts, performing speaker diarization, and producing AI-powered summaries, action items, decisions, and blockers. Users can rename speakers, browse previous meetings, and perform semantic search using natural language questions across one or multiple meetings. The application securely stores user-specific meeting data and supports authenticated multi-user access.

System Requirements

Operating System: Windows 10/11, Linux, or macOS

Python 3.11+

Node.js 18+

MongoDB (Local or Atlas)

RAM: Minimum 8 GB (16 GB Recommended)

Disk Space: 2 GB Free

Modern Web Browser (Chrome, Edge, Firefox)

Internet connection for LLM API access

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