AI Automation Dashboard SaaS

Modern SaaS starter for AI-powered workflow automation, analytics, document intelligence, and team productivity. Developed and licensed by Vural “Wency” Demir.

Stack

• Next.js, TypeScript, Tailwind CSS, Framer Motion
• Node.js, Express, Prisma, PostgreSQL
• Python, FastAPI, OpenAI SDK
• JWT auth, refresh tokens, bcrypt, RBAC
• Docker Compose for local infrastructure

Project Layout

apps/
  api/      Express API and Prisma schema
  web/      Next.js dashboard and auth UI
services/
  ai/       FastAPI AI microservice

What’s Included

• Premium landing page and dark dashboard shell
• Authentication screens for login and signup
• Role-aware dashboard layout with analytics cards
• AI assistant panel and workflow suggestions
• File upload route and AI processing endpoints
• Admin, notifications, profile, and settings routes
• PostgreSQL schema for users, workflows, logs, and usage
• Docker support for each service

Local Setup

1. Copy .env.example to .env
2. Install dependencies at the root
3. Install Python dependencies in services/ai
4. Start PostgreSQL and Redis with Docker Compose
5. Run the three services

Commands

npm install
cd services/ai && pip install -r requirements.txt
docker compose up -d postgres redis
npm run dev

Key Endpoints

• GET /health
• POST /auth/register
• POST /auth/login
• POST /auth/refresh
• GET /dashboard/summary
• GET /workflows
• POST /ai/workflow-suggestion
• POST /ai/summarize
• POST /ai/analyze-document
• POST /ai/assistant
• GET /notifications
• GET /profile

Notes

• PostgreSQL is the default database target.
• The Python service can use OpenAI when OPENAI_API_KEY is present, and falls back to deterministic demo logic otherwise.
• The current codebase is a polished starter scaffold ready for product-specific business logic.