Here's an updated README file to reflect your setup without Docker Compose and with a Node.js backend:

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ATS Resume Scanner

This ATS (Applicant Tracking System) Resume Scanner uses AI to help users optimize their resumes for specific job descriptions. The app scores resumes, provides ATS-friendliness feedback, and offers bias removal suggestions, enhancing the overall resume quality.

Features

• Customized Resume Scoring: Evaluates resumes based on the job description.
• ATS-Friendliness Feedback: Identifies resume elements that may affect automated scanning.
• AI-Powered Enhancements: Offers improvement suggestions to boost resume quality.
• Bias Detection and Removal: Assesses and removes potential bias in the resume.

Technologies Used

• Frontend: React (built with Vite)
• Backend: Node.js with AI integration (OpenAI)
• Dockerized: Separate Docker files for frontend and backend

Project Structure

• frontend/ - Contains the React frontend code.
• backend/ - Contains the Node.js backend code.
• Dockerfile - Separate Dockerfiles for both frontend and backend.

Prerequisites

• Docker installed on your machine.

Setup Instructions

Step 1: Clone the Repository

git clone https://github.com/yourusername/ATS-Resume-Scanner.git
cd ATS-Resume-Scanner

Step 2: Build and Start the Backend and Frontend Containers

Backend

1. Navigate to the backend directory:

   cd backend

2. Build the Docker image for the backend:

   docker build -t ats-backend .

3. Run the backend container:

   docker run -d -p 8000:8000 ats-backend

   This starts the backend server on port 8000.

Frontend

1. Open a new terminal and navigate to the frontend directory:

   cd frontend

2. Build the Docker image for the frontend:

   docker build -t ats-frontend .

3. Run the frontend container:

   docker run -d -p 3000:3000 ats-frontend

   This starts the frontend on port 3000.

Step 3: Access the Application

Once both containers are up and running, access the application at:

• Frontend (React UI): http://localhost:3000
• Backend (Node.js API): http://localhost:8000

Stopping the Application

To stop the containers, use:

docker stop <container_id>

You can find the container IDs with:

docker ps

Additional Notes

• Environment Variables: Ensure to set any required environment variables in the .env files for both frontend and backend.
• AI Integration: The backend requires an OpenAI API key for resume scoring and suggestions. Be sure to configure this in the backend environment settings.

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