ResumeForge

AI-Powered Resume Builder & Analyzer — Craft ATS-optimized resumes that land interviews.

About

ResumeForge is a full-stack SaaS platform that helps job seekers create, analyze, and optimize their resumes using AI. Built with a privacy-first architecture — your data never leaves your browser session.

Features

Resume Builder

• Step-by-step guided form with live preview
• 4 ATS-tested professional templates
• AI-powered bullet point enhancement
• One-click PDF export

Resume Analyzer

• Upload PDF, DOCX, or TXT files
• Instant ATS compatibility score (0-100)
• Section-by-section feedback (Formatting, Content, Keywords, Impact)
• AI-powered improvement suggestions with priority levels
• Bullet point strength analysis with rewritten alternatives

Job Tailoring

• Side-by-side resume and job description comparison
• AI rewrites resume to match job requirements
• Keyword gap detection with matched/missing analysis
• Change tracking with before/after comparison

Privacy-First

• No accounts required
• No server-side data storage
• All processing happens in-session
• Data cleared when you close the tab

Tech Stack

Technology	Purpose
Next.js 15	React framework with App Router
Tailwind CSS v4	Utility-first styling
Google Gemini AI	Resume analysis and content generation
pdf-parse	Server-side PDF text extraction
mammoth	Server-side DOCX text extraction
Lucide React	Icon system

Getting Started

Prerequisites

• Node.js 18+
• npm or yarn
• Google Gemini API key (Get one free)

Installation

# Clone the repository
git clone https://github.com/YOUR_USERNAME/resumeforge.git
cd resumeforge

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env.local
# Edit .env.local and add your GEMINI_API_KEY

# Start development server
npm run dev

Open http://localhost:3000 in your browser.

Environment Variables

Variable	Description
GEMINI_API_KEY	Your Google Gemini API key

Project Structure

src/
├── app/
│   ├── page.js              # Landing page
│   ├── create/page.js       # Resume builder
│   ├── analyze/page.js      # Resume analyzer
│   ├── tailor/page.js       # Job tailoring
│   ├── templates/page.js    # Template gallery
│   └── api/                 # Serverless API routes
├── components/
│   ├── landing/             # Landing page sections
│   ├── layout/              # Navbar & Footer
│   └── ui/                  # Reusable components
├── context/                 # React context (state management)
└── lib/                     # Utilities, AI client, scoring

Architecture

• Frontend: Server-rendered landing page with client-side interactive tools
• API Layer: Next.js API routes for AI processing and file parsing
• State Management: React Context + useReducer with localStorage persistence
• AI Integration: Google Gemini 2.0 Flash for analysis, generation, and tailoring
• Scoring: Dual scoring system — instant client-side ATS scoring + deep AI analysis

Deployment

Deployed on Vercel. To deploy your own:

1. Push code to GitHub
2. Import repository on Vercel
3. Add GEMINI_API_KEY environment variable
4. Deploy

Screenshots

Screenshots will be added after deployment.

License

MIT License — see LICENSE for details.