ResumeForge – AI Powered Resume Builder

ResumeForge is an AI-powered resume builder that helps users create professional, ATS-optimized resumes in minutes. The platform uses AI to generate content, improve resume sections, and provide structured templates suitable for modern hiring systems.

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Build professional, ATS-optimized resumes in minutes — powered by AI.

🌐 Live Demo • Features • Tech Stack • Getting Started • API Reference • Deployment

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📖 Overview

ResumeForge AI is a full-stack web application that combines a modern React frontend with an Express/Node.js backend and OpenAI integration to streamline resume creation. Users can build and manage multiple resumes, upload existing PDFs for AI-powered auto-fill, have AI enhance their professional summaries and job descriptions, choose from multiple templates, and share or export their resumes as PDFs.

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✨ Features

🤖 AI-Powered Assistance

• PDF Auto-Fill – Upload an existing resume PDF and AI extracts all your data automatically.
• Summary Enhancement – One-click AI improvement of your professional summary using compelling, ATS-friendly language.
• Job Description Enhancement – AI rewrites experience bullet points with strong action verbs and quantifiable achievements.

📝 Resume Builder

• Section-Based Editing – Dedicated, guided forms for:
  • Personal Information (name, contact, LinkedIn, website, profile photo)
  • Professional Summary
  • Work Experience (with current-job toggle)
  • Education (degree, GPA, graduation date)
  • Projects (name, type, description)
  • Skills (tag-based input)
• Real-Time Preview – See your resume update live as you type.
• Multiple Resumes – Create, edit, and manage multiple resumes from one dashboard.

🎨 Templates & Customization

• 4 Professional Templates – Classic, Modern, Minimal, and Minimal with Image.
• Accent Color Picker – Personalize template colors to match your style.
• Profile Image Upload – Supports background removal via ImageKit.

🔒 Authentication & Sharing

• Secure registration and login with JWT and bcrypt password hashing.
• Make resumes public for easy sharing via a unique URL.
• PDF Export – Download your resume as a print-ready PDF.

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🛠 Tech Stack

Layer	Technology
Frontend	React 19, Vite 7, Tailwind CSS 4
State Management	Redux Toolkit
Routing	React Router DOM v7
HTTP Client	Axios
Backend	Node.js, Express 5
Database	MongoDB (Mongoose)
Authentication	JSON Web Tokens (JWT), bcrypt
AI	OpenAI API (GPT-4) / Google GenAI
Image Hosting	ImageKit
File Uploads	Multer
Notifications	React Hot Toast
Icons	Lucide React
Dev Tooling	Nodemon, ESLint

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📁 Project Structure

ResumeForge-AI/
├── client/                    # React + Vite frontend
│   ├── public/                # Static assets
│   └── src/
│       ├── app/               # Redux store & auth slice
│       ├── components/        # Reusable UI components
│       │   ├── Home/          # Landing page sections
│       │   └── templates/     # Resume template renderers
│       ├── configs/           # Axios client config
│       └── pages/             # Route-level pages
│           ├── Home.jsx
│           ├── Login.jsx
│           ├── Dashboard.jsx
│           ├── ResumeBuilder.jsx
│           └── Preview.jsx
│
└── server/                    # Node.js + Express backend
    ├── configs/               # DB, AI, ImageKit, Multer configs
    ├── controllers/           # Business logic
    ├── middlewares/           # JWT auth middleware
    ├── models/                # Mongoose schemas (User, Resume)
    ├── routes/                # API route definitions
    └── utils/                 # ApiError, ApiResponse, AsyncHandler

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🚀 Getting Started

Prerequisites

• Node.js v18 or higher
• npm v9 or higher
• A MongoDB connection string (local or MongoDB Atlas)
• An OpenAI API key
• An ImageKit account (for image hosting)

1. Clone the Repository

git clone https://github.com/aryanghugare/ResumeForge-AI.git
cd ResumeForge-AI

2. Configure Environment Variables

Server (server/.env)

Create a file at server/.env with the following variables:

PORT=3000
MONGODB_URI=mongodb+srv://<user>:<password>@cluster.mongodb.net/resumeforge
JWT_SECRET=your_super_secret_jwt_key
# OpenAI
OPENAI_API_KEY=sk-...
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-4-turbo
# ImageKit
IMAGEKIT_PUBLIC_KEY=your_imagekit_public_key
IMAGEKIT_PRIVATE_KEY=your_imagekit_private_key
IMAGEKIT_URL_ENDPOINT=https://ik.imagekit.io/your_id

Client (client/.env.local)

Create a file at client/.env.local:

VITE_BASE_URL=http://localhost:3000

3. Install Dependencies

# Install server dependencies
cd server && npm install

# Install client dependencies
cd ../client && npm install

4. Run in Development Mode

Open two terminals:

Terminal 1 – Backend:

cd server
npm run server      # Starts Express on http://localhost:3000

Terminal 2 – Frontend:

cd client
npm run dev         # Starts Vite dev server on http://localhost:5173

Open http://localhost:5173 in your browser.

5. Build for Production

# Build the frontend
cd client
npm run build       # Output goes to client/dist/

# Run the backend in production mode
cd ../server
npm start

📡 API Reference

All protected routes require an Authorization: <token> header with a valid JWT.

User Endpoints

Method	Endpoint	Auth	Description
POST	/api/users/register	❌	Register a new user
POST	/api/users/login	❌	Log in and receive a JWT
GET	/api/users/data	✅	Get current user info
GET	/api/users/resumes	✅	List all resumes for the user

Resume Endpoints

Method	Endpoint	Auth	Description
POST	/api/resumes/create	✅	Create a new resume
PUT	/api/resumes/update	✅	Update a resume (supports image upload)
DELETE	/api/resumes/delete/:resumeId	✅	Delete a resume
GET	/api/resumes/get/:resumeId	✅	Get a specific resume
GET	/api/resumes/public/:resumeId	❌	View a public resume (no auth required)

AI Endpoints

Method	Endpoint	Auth	Description
POST	/api/ai/enhance-pro-sum	✅	AI-enhance professional summary
POST	/api/ai/enhance-job-desc	✅	AI-enhance a job description
POST	/api/ai/upload-resume	✅	Upload PDF and auto-extract resume data

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🗄 Data Models

User

{
  name: String,
  email: String,       // unique
  password: String,    // bcrypt hashed
  createdAt, updatedAt
}

Resume

{
  userId: ObjectId,
  title: String,
  public: Boolean,
  template: String,        // "classic" | "modern" | "minimal" | "minimal-image"
  accent_color: String,
  professional_summary: String,
  skills: [String],
  personal_info: {
    image, full_name, profession, email, phone, location, linkedin, website
  },
  experience: [{
    company, position, start_date, end_date, description, is_current
  }],
  education: [{
    institution, degree, field, graduation_date, gpa
  }],
  project: [{
    name, type, description
  }],
  createdAt, updatedAt
}

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☁️ Deployment

Frontend – Vercel (Recommended)

1. Push your code to GitHub.
2. Import the repo in Vercel and set the Root Directory to client.
3. Add environment variable VITE_BASE_URL pointing to your deployed backend URL.
4. Deploy.

Backend – Render / Railway / Heroku

1. Deploy the server/ directory to your chosen platform.
2. Add all server environment variables from server/.env.
3. Set the start command to npm start.
4. Update the CORS allowedOrigins in server/server.js to include your frontend URL.

Database – MongoDB Atlas

1. Create a free cluster at MongoDB Atlas.
2. Whitelist your backend server IP.
3. Copy the connection string into MONGODB_URI.

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AI Integration

• OpenAI API / LLM-based text generation

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How It Works

1. Users enter basic information such as education, skills, and experience.
2. The AI generates professional resume bullet points and summaries.
3. The system formats the data into ATS-friendly resume templates.
4. Users can edit sections and export the final resume as a PDF.

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Made with ❤️ by Aryan Ghugare