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🐱 Meow.AI - AI-Powered Meeting Assistant

Full-stack SaaS where AI meets video meetings
Create custom AI agents that join your calls, participate in real-time, and provide intelligent meeting assistance with multilingual support.

Next.js React TypeScript License: MIT


🎯 What is Meow.AI?

Meow.AI is a production-ready SaaS platform that revolutionizes video meetings by integrating AI agents directly into your calls. Whether you're conducting mock interviews, seeking real-time assistance, or need multilingual support, Meow.AI's custom agents adapt to your needs.

✨ Key Features

πŸ€– AI-Powered Video Calls - Seamlessly integrate AI agents into live video sessions
🧠 Custom Real-Time Agents - Create personalized AI assistants with custom instructions
πŸ“ Smart Meeting Insights - Auto-generated summaries, transcripts, and recordings
πŸ“‚ Meeting Management - Complete history with statuses and metadata
πŸ” Transcript Search - Full-text search across all meeting transcripts
πŸ“Ί Video Playback - Review recordings with synchronized transcripts
πŸ’¬ AI Meeting Q&A - Ask questions about your meeting content post-call
πŸ” Better Auth - Secure authentication with Google & GitHub OAuth
πŸ“± Mobile Responsive - Fully optimized for all devices
βš™οΈ Inngest Background Jobs - Asynchronous processing for webhooks and AI tasks


πŸ—οΈ Architecture & Tech Stack

Frontend

  • Next.js 15 (App Router) - Server-side rendering and React Server Components
  • React 19 - Latest React features with concurrent rendering
  • TypeScript - Type-safe development
  • Tailwind CSS v4 - Utility-first styling with latest features
  • shadcn/ui - Accessible component library

Backend

  • tRPC - End-to-end typesafe API layer
  • Drizzle ORM - Type-safe SQL database toolkit
  • PostgreSQL - Relational database
  • Better Auth - Modern authentication solution
  • Inngest - Reliable background job processing

External Services

  • Stream Video SDK - Real-time video infrastructure
  • Stream Chat SDK - Real-time messaging
  • OpenAI API - AI model integration for agent intelligence

Performance Optimizations

  • Server-side prefetching for instant page loads
  • Optimized client-server integration (42% faster load times)
  • Efficient webhook-based automation (80% reduction in manual intervention)
  • Support for 100+ concurrent AI agent sessions

πŸš€ Getting Started

Prerequisites

  • Node.js 18+ and npm/pnpm/yarn
  • PostgreSQL database
  • API keys for:
    • Stream (Video & Chat SDK)
    • OpenAI
    • Google OAuth (optional)
    • GitHub OAuth (optional)

Installation

  1. Clone the repository
git clone https://github.com/baveet256/End-to-End-AI-Platform
cd talkai
  1. Install dependencies
npm install
# or
pnpm install
# or
yarn install
  1. Set up environment variables

Create a .env.local file in the root directory:

# Database
DATABASE_URL="postgresql://user:password@localhost:5432/meowai"

# Better Auth
BETTER_AUTH_SECRET="your-secret-key-here"
BETTER_AUTH_URL="http://localhost:3000"

# OAuth Providers (Optional)
GOOGLE_CLIENT_ID="your-google-client-id"
GOOGLE_CLIENT_SECRET="your-google-client-secret"
GITHUB_CLIENT_ID="your-github-client-id"
GITHUB_CLIENT_SECRET="your-github-client-secret"

# Stream SDK
NEXT_PUBLIC_STREAM_API_KEY="your-stream-api-key"
STREAM_SECRET_KEY="your-stream-secret-key"

# OpenAI
OPENAI_API_KEY="your-openai-api-key"

# Inngest
INNGEST_EVENT_KEY="your-inngest-event-key"
INNGEST_SIGNING_KEY="your-inngest-signing-key"
  1. Set up the database
# Generate Drizzle migrations
npm run db:generate

# Run migrations
npm run db:migrate

# (Optional) Seed initial data
npm run db:seed
  1. Initialize tRPC & Authentication
# The setup is automatic, just ensure environment variables are set
npm run dev
  1. Run the development server
npm run dev

Open http://localhost:3000 to see the application.


πŸ“– Usage Guide

Creating Your First AI Agent

  1. Sign in using Google, GitHub, or email
  2. Navigate to Agents via the sidebar
  3. Click "Create Agent" and provide:
    • Agent name
    • Custom instructions (define personality, expertise, language)
  4. Save your agent

Starting a Meeting

  1. Go to Meetings from the sidebar
  2. Click "Create Meeting"
  3. Assign your AI agent to the meeting
  4. Click "Join" - your AI agent will participate alongside you

Post-Meeting Features

After your call ends, access:

  • πŸ“Ή Recording - Full video playback
  • πŸ“ Transcript - Searchable, timestamped text
  • πŸ“Š Summary - AI-generated meeting highlights
  • πŸ’¬ AI Q&A - Ask questions about meeting content

Demo Limitations

⚠️ This is a demo/trial SaaS project
As an F1 student in the US, I cannot implement payment processing. Each user is limited to 3 meetings to manage API costs. Meetings cannot be deleted or edited once created.


πŸ›οΈ Project Structure

meowai-saas/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ app/              # Next.js app router pages
β”‚   β”œβ”€β”€ components/       # React components
β”‚   β”‚   β”œβ”€β”€ ui/          # shadcn/ui components
β”‚   β”‚   └── ...          # Feature components
β”‚   β”œβ”€β”€ server/          # Backend logic
β”‚   β”‚   β”œβ”€β”€ api/         # tRPC routers
β”‚   β”‚   β”œβ”€β”€ db/          # Drizzle schema & migrations
β”‚   β”‚   └── auth/        # Better Auth configuration
β”‚   β”œβ”€β”€ lib/             # Utilities & helpers
β”‚   β”œβ”€β”€ hooks/           # Custom React hooks
β”‚   └── types/           # TypeScript types
β”œβ”€β”€ public/              # Static assets
β”œβ”€β”€ drizzle/             # Database migrations
└── inngest/             # Background job definitions

🀝 Contributing

Contributions are welcome! Whether it's bug fixes, feature additions, or documentation improvements, feel free to open an issue or submit a pull request.

How to Contribute

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Reporting Issues

Found a bug? Please open an issue with:

  • Clear description of the problem
  • Steps to reproduce
  • Expected vs actual behavior
  • Screenshots (if applicable)

πŸ“ License

This project is licensed under the MIT License - see the LICENSE file for details.


πŸ‘¨β€πŸ’» About the Developer

Baveet Singh Hora
AI Engineer | Full-Stack Developer | Data Scientist | Machine Learning Engineer

I'm passionate about building intelligent systems that solve real-world problems. This project showcases my expertise in:

  • Full-stack SaaS development
  • Real-time AI agent orchestration
  • Modern web architecture (Next.js, React, TypeScript)
  • Performance optimization and scalable design

πŸ“¬ Let's Connect

🎯 Open to full-time opportunities! If you're looking for a developer who ships production-grade applications, let's talk.


πŸ™ Acknowledgments

  • Next.js - The React framework for production
  • Stream - Video & Chat infrastructure
  • OpenAI - AI model provider
  • Vercel - Deployment platform
  • Inngest - Background job orchestration

Built with ❀️ by Baveet Singh Hora

⭐ Star this repo if you found it helpful!

About

Full-stack SaaS platform with AI agents that join video meetings in real-time. Features custom AI assistants, mock interviews, multilingual support, transcripts, and intelligent meeting Q&A. Built with Next.js 15, React 19, TypeScript, tRPC, Stream SDK, and OpenAI.

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