How to Build a Smart Meeting Recorder with AI-Powered Summaries

Revolutionize your meeting experience with our Smart Meeting Recorder featuring AI-generated summaries. This innovative app seamlessly records discussions, transcribes content, and produces intelligent summaries, making information retrieval effortless. Perfect for busy professionals looking to maximize productivity and streamline communication.

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Simple Summary

A cutting-edge Smart Meeting Recorder that leverages AI to automatically generate concise summaries, enhancing productivity and information retention for professionals.

Product Requirements Document (PRD)

Goals:

Create a user-friendly meeting recording application
Implement AI-powered transcription and summarization
Ensure secure storage and easy retrieval of meeting data
Provide collaborative features for team productivity

Target Audience:

Business professionals
Project managers
Remote teams
Students and educators

Key Features:

High-quality audio recording
Real-time transcription
AI-generated meeting summaries
Collaborative note-taking
Secure cloud storage
Easy search and retrieval of past meetings
Integration with popular calendar apps
Mobile and desktop compatibility

User Requirements:

Intuitive interface for recording, playback, and summary viewing
Ability to edit and annotate AI-generated summaries
Sharing options for meeting recordings and summaries
Customizable AI summary length and focus areas
Robust user authentication and data privacy measures

User Flows

Recording a Meeting:
- User opens app and clicks "New Recording"
- Selects meeting participants or imports from calendar
- Starts recording
- AI begins real-time transcription
- User can add time-stamped notes during the meeting
- Stops recording when meeting ends
- AI generates summary
Accessing and Sharing Summaries:
- User logs into app
- Navigates to "Past Meetings" section
- Selects desired meeting
- Views AI-generated summary
- Edits or annotates summary if needed
- Shares summary via email or team collaboration tool
Searching Meeting Content:
- User enters keywords in search bar
- App searches through transcripts and summaries
- Displays relevant meetings with highlighted matches
- User can jump to specific points in recordings or summaries

Technical Specifications

Frontend: React Native for cross-platform mobile and web support
Backend: Node.js with Express.js
Database: MongoDB for flexible document storage
AI Services:
- Google Cloud Speech-to-Text API for transcription
- OpenAI GPT-3 for summary generation
Authentication: JWT with OAuth 2.0 for social login options
Cloud Storage: AWS S3 for secure audio file storage
Real-time Features: Socket.io for collaborative note-taking
API Documentation: Swagger
Testing: Jest for unit and integration tests
CI/CD: GitHub Actions

API Endpoints

POST /api/meetings/start - Start a new meeting recording
POST /api/meetings/stop - Stop current recording and trigger summarization
GET /api/meetings - Retrieve list of user's meetings
GET /api/meetings/:id - Get details of a specific meeting
PUT /api/meetings/:id/summary - Update AI-generated summary
POST /api/meetings/:id/share - Share meeting recording or summary
GET /api/search - Search through meeting transcripts and summaries

Database Schema

Users:
  - _id: ObjectId
  - email: String
  - password: String (hashed)
  - name: String
  - createdAt: Date

Meetings:
  - _id: ObjectId
  - title: String
  - date: Date
  - duration: Number
  - participants: [ObjectId] (ref: Users)
  - recordingUrl: String
  - transcriptText: String
  - summary: String
  - notes: [
      {
        userId: ObjectId,
        text: String,
        timestamp: Number
      }
    ]
  - createdBy: ObjectId (ref: Users)
  - createdAt: Date

File Structure

/src
  /components
    Header.js
    Footer.js
    MeetingCard.js
    RecordButton.js
    SummaryView.js
  /screens
    HomeScreen.js
    RecordingScreen.js
    MeetingDetailsScreen.js
    ProfileScreen.js
  /services
    api.js
    auth.js
    transcription.js
    summarization.js
  /utils
    dateHelpers.js
    audioProcessing.js
  /styles
    globalStyles.js
  /redux
    store.js
    /actions
    /reducers
  App.js
/assets
  /images
  /fonts
/tests
  /unit
  /integration
.gitignore
package.json
README.md
app.json

Implementation Plan

Project Setup (1 week)
- Initialize React Native project
- Set up backend with Node.js and Express
- Configure MongoDB and create schemas
- Implement basic user authentication
Core Recording Functionality (2 weeks)
- Develop audio recording capabilities
- Integrate with Google Cloud Speech-to-Text API
- Implement real-time transcription display
AI Summary Generation (2 weeks)
- Set up OpenAI GPT-3 integration
- Develop summary generation algorithm
- Create summary editing and annotation features
User Interface Development (3 weeks)
- Design and implement main app screens
- Create reusable UI components
- Ensure responsive design for various devices
Data Management and Search (2 weeks)
- Implement CRUD operations for meetings
- Develop search functionality across transcripts and summaries
- Set up secure cloud storage for audio files
Collaboration Features (2 weeks)
- Implement real-time collaborative note-taking
- Develop sharing mechanisms for recordings and summaries
- Integrate with popular calendar apps
Testing and Refinement (2 weeks)
- Write and run unit and integration tests
- Conduct user testing and gather feedback
- Refine UI/UX based on feedback
Deployment and Launch Preparation (1 week)
- Set up CI/CD pipeline
- Prepare app store listings
- Finalize documentation and support materials

Deployment Strategy

Backend Deployment:
- Deploy Node.js backend to AWS Elastic Beanstalk
- Set up MongoDB Atlas for database management
- Configure AWS S3 for audio file storage
Frontend Deployment:
- Use Expo for React Native app builds
- Deploy web version to Netlify or Vercel
- Submit mobile apps to Apple App Store and Google Play Store
CI/CD:
- Implement GitHub Actions for automated testing and deployment
- Set up separate staging and production environments
Monitoring and Maintenance:
- Use AWS CloudWatch for backend monitoring
- Implement Sentry for error tracking in frontend
- Set up automated database backups
Scaling:
- Configure auto-scaling for backend services
- Implement caching strategies for frequently accessed data
- Use CDN for static asset delivery

Design Rationale

The Smart Meeting Recorder with AI Summaries is designed with a focus on user experience and productivity. React Native was chosen for its cross-platform capabilities, ensuring a consistent experience across devices. The use of AI services for transcription and summarization addresses the core value proposition of the app, saving users time and enhancing meeting outcomes.

The modular file structure and use of reusable components will facilitate easier maintenance and scalability. The implementation plan prioritizes core functionality early, allowing for user testing and refinement of key features. The deployment strategy leverages cloud services for reliability and scalability, while the CI/CD approach ensures rapid and safe iterations as the product evolves.