Quick.ai – All-in-One AI Content Creation Platform

Installation Steps

1. Clone the project repository.
2. 
   

git clone https://github.com/yourusername/QuickAI.git
cd QuickAI

1. Install frontend dependencies.
2. 
   

cd client
npm install

1. Install backend dependencies.
2. 
   

cd ../server
npm install

1. Configure the .env files with the required credentials:

• Clerk API Keys
• Neon PostgreSQL Database URL
• Cloudinary Credentials
• AI API Key

1. Start the backend server.
2. 
   

npm run server

1. Start the frontend application.
2. 
   

cd ../client
npm run dev

1. Open the application in your browser at:
2. 
   

http://localhost:5173

1. Register or log in using Clerk Authentication and start using the AI tools

To use QuickAI, first launch the application and sign in using the secure Clerk Authentication system. After successful login, the user is redirected to the dashboard, where all AI-powered tools are available. Users can select any module, such as the AI Article Generator, Blog Title Generator, AI Image Generator, Resume Review, Background Removal, or Object Removal, based on their requirements. Depending on the selected module, users can either enter a text prompt or upload an image or document for processing. Once the required input is provided, clicking the Generate or Process button sends the request to the backend, where AI services process the data and return the results. The generated content is displayed on the screen and can be viewed, copied, downloaded, or used for further editing. After completing their tasks, users can safely log out of the application to ensure account security.

QuickAI is a web-based AI content creation platform that requires a computer with a minimum of an Intel Core i3 (or equivalent) processor, 4 GB RAM, and at least 2 GB of free storage space. A stable internet connection is essential for accessing AI services and cloud resources. The application supports Windows 10/11, Linux, and macOS operating systems. To run the project locally, Node.js (version 18 or later), npm, and a modern web browser such as Google Chrome or Microsoft Edge should be installed. Visual Studio Code is recommended as the development environment.