WhatsApp AI Agent SaaS – AI Support Platform

WhatsApp AI Agent SaaS is a full-stack platform for building AI-powered customer support and conversation workflows.

Built with a modern React + TypeScript frontend and FastAPI backend, the project provides a solid foundation for launching an AI customer-support SaaS application.

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• AI-powered agent configuration
• Customer conversation management
• Interactive chat interface
• User authentication and protected areas
• Credit management system
• Stripe payment service integration
• AI service integration
• PostgreSQL database architecture
• SQLAlchemy models
• Alembic database migrations
• REST API architecture
• Dashboard and settings
• Storage service architecture
• Docker support
• Environment-based configuration

The source code is organized into separate frontend and backend applications, making it suitable for developers who want to customize the platform, connect their own AI provider, configure their own database and deploy their own SaaS solution.

The package includes the application source code and project documentation.

Third-party services require the buyer's own accounts and API credentials.

Features

• AI-powered customer support agents
• WhatsApp-style conversation management
• AI chat interface
• Agent configuration dashboard
• User authentication and JWT architecture
• Credits and transaction management
• Stripe payment integration
• PostgreSQL database support
• REST API with FastAPI
• React + TypeScript frontend
• SQLAlchemy and Alembic migrations
• Docker-ready architecture 

Requirements

Python 3.10 or newer Node.js 18 or newer PostgreSQL database npm or pnpm Modern web browser AI provider API credentials Stripe account for payment features Linux VPS or compatible hosting environment Basic knowledge of Python and React

Instructions

• Extract the ZIP package.
• Open the app/backend directory.
• Create a Python virtual environment.
• Install the backend dependencies from requirements.txt.
• Configure the required environment variables.
• Configure the PostgreSQL database.
• Run the included Alembic database migrations.
• Start the FastAPI backend.
• Open the app/frontend directory.
• Install the frontend dependencies.
• Configure the frontend environment variables.
• Start the Vite development server.
• Configure your own AI provider and Stripe credentials where required.
• For production deployment, configure HTTPS, database security, CORS and environment secrets.