AI Content Generator for Marketing Teams

🚀 Production-ready MVP demonstrating full-stack AI engineering with LLM integration, real-time trend analysis, and scalable API design.

A full-stack, trend-aware AI content generation platform built for marketing teams. Generate blogs, ads, social captions, and emails — powered by OpenAI and real-time Google Trends data.

🎥 Demo Video

🔗 Watch here: https://www.loom.com/share/a56b1c6c68cc462881ba4011fd32d72f

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Features

• 4 Content Types — Blog posts, Ad copy, Social captions, Marketing emails
• 5 Tone Modes — Professional, Casual, Witty, Inspirational, Urgent
• 10 Industries — Technology, Fashion, Fitness, Finance, Healthcare, and more
• Live Google Trends — Real-time trending keywords injected into every generation
• Trend Score — 0–100 relevance score based on how trend-aligned your content is
• Rewrite / Expand / Shorten — One-click content transformations
• 3 Variations — Generate multiple angles on the same prompt
• SEO Analysis — AI-powered score, title suggestion, meta description, and tips
• Copy to Clipboard — One click to copy generated content
• Save Projects — Persistent dashboard to store and reload your work
• User Authentication — Secure signup/login with JWT tokens and bcrypt passwords

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Tech Stack

Layer	Technology
Frontend	React 18 + Vite
Backend	FastAPI (Python)
AI	OpenAI (LLM API)
Trends	Pytrends (Google Trends)
Database	SQLite + SQLModel
Auth	JWT + bcrypt (python-jose, passlib)
Frontend Deploy	Vercel
Backend Deploy	Render

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Architecture Overview

The system follows a full-stack client-server architecture with AI integration.

1. Frontend (React + Vite)

   • Provides the user interface for content generation
   • Collects user inputs (content type, tone, industry, keywords)
   • Sends API requests to the backend
   • Displays generated content, variations, and SEO insights

2. Backend (FastAPI)

   • Handles authentication using JWT tokens
   • Processes user requests and routes them to appropriate services
   • Integrates with OpenAI for content generation
   • Fetches real-time Google Trends data using Pytrends
   • Applies business logic (trend injection, scoring, transformations)

3. AI Layer (OpenAI API)

   • Generates high-quality, context-aware marketing content
   • Supports multiple content formats and tone variations

4. Trends Engine (Pytrends)

   • Fetches trending keywords based on selected industry
   • Enhances prompts with real-time market signals

5. Database (SQLite + SQLModel)

   • Stores user accounts and saved projects
   • Enables dashboard functionality for content retrieval

6. Deployment Layer

   • Frontend deployed on Vercel
   • Backend deployed on Render
   • Environment variables used for secure configuration and API communication

Data Flow

User → Frontend → Backend → (OpenAI + Trends) → Backend → Frontend → User

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Project Structure

ai-content-generator/
├── backend/
│   ├── main.py
│   ├── auth/
│   ├── content_generator/
│   ├── requirements.txt
│   ├── Procfile
│   ├── runtime.txt
│   └── .env
├── frontend/
│   └── src/
│       └── App.jsx
├── .gitignore
└── README.md

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Deployment

• Frontend deployed on Vercel
• Backend deployed on Render
• Environment variables configured for secure API access and CORS handling

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Local Development Setup

Prerequisites

• Python 3.11+
• Node.js 18+
• OpenAI API key

Backend

cd backend python -m venv venv venv\Scripts\activate pip install -r requirements.txt

Create backend/.env:

OPENAI_API_KEY=your_key_here
SECRET_KEY=your_secret_here
ACCESS_TOKEN_EXPIRE_MINUTES=10080

Run backend:

uvicorn main:app --reload --port 8000

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Frontend

cd frontend
npm install
npm run dev

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How It Works

1. User logs in → receives a JWT token
2. User fills the content form
3. Backend fetches Google Trends data
4. Trends are injected into prompt
5. OpenAI LLM generates content
6. Trend score is calculated
7. User can edit, optimize, or save content

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Known Limitations

• Pytrends rate limiting
• Render free tier sleep delay
• SQLite resets on redeploy

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Roadmap / Future Improvements

• PostgreSQL integration
• Bulk content generation
• Content scheduling
• Export features
• Team collaboration
• Analytics dashboard
• Multi-model support (OpenAI, Claude, Gemini)

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Author

Built by Saurabh Singh Bhandari
AI Engineer | Generative AI | LLM Applications
Focused on building scalable AI-powered products and real-world systems