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🚀 QuickAI – AI-Powered SaaS Platform

QuickAI is a production-ready AI SaaS application that brings together content generation, image processing, and resume analysis into a single scalable platform.
It is built with a real-world product mindset, focusing on clean architecture, scalability, and secure AI integration.

🌐 Live Demo: https://quick-ai-psi-gray.vercel.app/


🧠 What is QuickAI?

QuickAI enables users to:

  • Generate AI-powered articles & blog titles
  • Perform image background & object removal
  • Analyze resumes using a custom ATS scoring system
  • Explore a community feed of AI-generated content
  • Manage usage, subscriptions, and history via a dashboard

This project is built end-to-end as a real SaaS product, not a clone.


🧩 System Architecture

QuickAI System Architecture

Architecture Overview

  • Frontend: React + Vite handles UI and user interaction
  • Backend: Express APIs manage business logic and orchestration
  • Service Layer: Abstracts multiple AI providers
  • Database: Serverless PostgreSQL (Neon) stores users, usage, and results
  • Auth & Billing: Clerk handles authentication and subscriptions
  • Media: Cloudinary optimizes and serves images

All AI outputs are processed server-side, stored in the database, and then returned to the frontend for consistency and scalability.


🛠️ Tech Stack

Frontend

React Vite TailwindCSS

Backend

Node.js Express.js

Database

PostgreSQL Neon

AI & Cloud

Gemini Groq ClipDrop Cloudinary

Auth & Billing

Clerk


🖼️ Project Screenshots

🔐 Authentication & Landing

🧠 AI Content & Tools

🖼️ Image generation & 📄 Resume Analyzer (ATS)


⚙️ Key Engineering Highlights

  • Multi-AI provider integration with clean abstraction
  • Secure authentication and subscription-based access
  • Usage-based limits to control AI costs
  • Stateless backend with serverless database
  • Production-ready SaaS architecture

👨‍💻 Author

Suraj M
Final-Year Computer Science Student
Full-Stack Developer | AI & SaaS Enthusiast


QuickAI demonstrates real-world system design, scalable architecture, and end-to-end product ownership.

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