MyResume | AI-Powered Resume Generator

Table of Contents

• Overview
• System Architecture
• Demo
• Technologies
• Getting Started
• License
• My Links

Overview

Writing resumes that match job descriptions can take a lot of time and effort. To address this, I created MyResume, an AI-powered application that generates ATS-friendly PDF resumes in just a few seconds, simplifying the process and increasing efficiency.

Key Features:

• AI-Powered Personalization: Generates resumes customized to fit job descriptions.
• ATS-Friendly Templates: Increases the likelihood of passing ATS screenings.
• Customizable Styles: Allows users to fine-tune resume formats to match their preferences.
• Fast and Efficient: Saves time by automating the resume creation process.

This app leverages cutting-edge AI technologies to streamline resume creation, helping job seekers enhance their chances of success in today's competitive job market.

System Architecture

Components:

1. Frontend (Angular):

   • Interactive UI for users to input job descriptions, customize resumes, and download PDF resumes.

2. Backend (Spring Boot with SpringAI):

   • Handles requests and integrates the OpenAI GPT-4 model for prompt engineering and AI-driven resume creation.

3. Database (MongoDB):

   • Stores user profiles, preferences, and resume data for seamless operations.

4. Containerization (Docker):

   • Ensures smooth deployment and scalability of the entire application.

Demo

Want to see MyResume in action? Check out this quick demo video showcasing how the application generates resumes:

Click on the image to watch the demo on YouTube.

Technologies

• Frontend: Angular
• Backend: Spring Boot, SpringAI, OpenAI API (GPT-4)
• Database: MongoDB
• Containerization: Docker

Getting Started

Prerequisites

• Java 21+
• Node.js
• MongoDB
• Docker

Steps

1. Clone the repository:

   git clone https://github.com/SidiahmedHABIB/my-resume-project 
   cd my-resume-project

2. Build the backend Docker image:

   cd docker/backend
   docker build -t my-resume-backend .
   cd ../..

3. Build the frontend Docker image:

   cd docker/frontend
   docker build -t my-resume-frontend .
   cd ../..

4. Start the entire application using Docker Compose:

   docker-compose up

5. Access the application:

   • Frontend: Open your browser and go to http://localhost:4200.

License

This project is licensed under the MIT License - see the LICENSE file for details.

My Links