PersonaGenAi

AI-powered social media profile generator with multi-platform automation and monetization.

AI Studio: https://ai.studio/apps/drive/1-8Gh0dorHEQEwZO88PwTDvhZJfsI4b-7

Features

✨ AI Profile Generation - Generate unique social media profiles using Google Gemini AI 🚀 Multi-Platform Support - Instagram, Twitter/X, TikTok, LinkedIn, and more 📅 Post Scheduling - Schedule posts for automated publishing 🔗 Google Services Integration - Calendar, Drive, and Analytics 💰 API Monetization - Three-tier pricing model (FREE, PRO, ENTERPRISE) 🔐 OAuth Authentication - Secure social media account connection

Run Locally

Prerequisites: Node.js 16+

1. Install dependencies:

   npm install

2. Set the GEMINI_API_KEY in .env.local to your Gemini API key

3. Set up environment variables:

   cp .env.example .env.local

   Edit .env.local and add your API_KEY (Google Gemini API key)

4. Run the app:

   npm run dev

Backend Setup

For detailed backend setup instructions, see BACKEND_SETUP.md

Quick Start:

1. Navigate to backend:

   cd backend

2. Install dependencies:

   npm install

3. Configure environment:

   cp .env.example .env
   # Edit .env with your API keys

4. Start the backend:

   npm run dev

The backend will run on http://localhost:3001

Backend Integrations

Supported Platforms

• Google Services: Gemini AI, Google Calendar, Gmail
• Notion: Content management, databases, content calendar
• GitHub: Repository management, issues, webhooks
• Perplexity AI: Research, content ideas, trend analysis
• Stripe: Payments and subscriptions

API Examples

Generate Content

POST /api/google/generate
{
  "prompt": "Write a motivational post",
  "temperature": 0.7
}

Schedule a Post

POST /api/scheduling/schedule
{
  "platform": "twitter",
  "content": "Hello World!",
  "scheduledTime": "2024-12-31T15:00:00Z",
  "userId": "user123"
}

Create Notion Entry

POST /api/notion/content
{
  "databaseId": "your_db_id",
  "title": "Blog Post",
  "date": "2024-01-01",
  "platform": "Twitter",
  "content": "Post content"
}

For complete API documentation, see backend/README.md

Cross-Platform Support

The backend is designed to work seamlessly across:

• ✅ Windows 10/11
• ✅ macOS (Intel & Apple Silicon)
• ✅ Linux (all major distributions)
• ✅ iOS (via API)
• ✅ Android (via API)
• ✅ Web Browsers

Deployment

Docker

cd backend
docker-compose up -d

Cloud Platforms

• Heroku
• AWS Elastic Beanstalk
• Google Cloud Run
• Azure App Service
• DigitalOcean

See backend/README.md for detailed deployment guides.

Monetization

The backend includes built-in Stripe integration for:

• Subscription management
• One-time payments
• Usage-based billing
• Webhook handling

Documentation

• Backend Setup Guide
• Backend API Documentation
• Integration Examples

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details 4. Open http://localhost:5173 in your browser

Backend Integration

PersonaGenAi includes comprehensive backend integration for multi-platform automation. See Backend Integration Guide for detailed setup instructions.

Quick Setup

1. Social Media APIs: Configure Instagram, Twitter/X, and TikTok API credentials
2. Google Services: Enable Calendar, Drive, and Analytics integration
3. Monetization: Three-tier API access model (FREE, PRO, ENTERPRISE)

Key Services

• API Key Management - Track usage and enforce tier limits
• OAuth Service - Authenticate with social media platforms
• Posting Service - Post content to multiple platforms
• Scheduling Service - Schedule and automate posts
• Google Services - Integrate with Calendar, Drive, and Analytics

Documentation

• Backend Integration Guide - Complete setup and usage guide
• API Reference - Service documentation
• Environment Variables - Configuration template

Build

npm run build

The build output will be in the dist directory.

Tech Stack

• Frontend: React 19, TypeScript, Vite
• AI: Google Gemini API
• Styling: Tailwind CSS (via inline styles)
• State Management: React Hooks
• Storage: LocalStorage (client-side)

Contributing

Contributions are welcome! Please read the contribution guidelines before submitting PRs.

License

This project is licensed under the MIT License.