AI-Powered Resume Analyzer

Deployed link: https://ai-powered-resume-analyzer-three.vercel.app/

A web application that analyzes resumes against job descriptions using Google Gemini AI, providing ATS-focused feedback and actionable recommendations.

Features

• Upload your resume and a job description
• Get keyword analysis, match score, and improvement suggestions
• AI-powered feedback tailored for Applicant Tracking Systems (ATS)

Technologies Used

• Frontend: React
• Backend: Node.js, Express
• AI Integration: Google Gemini (GenAI)
• File Parsing: pdf-parse, multer

Getting Started

Prerequisites

• Node.js (v16+ recommended)
• npm or yarn
• Google Gemini API key (set as GEMINI_API_KEY in your environment)

Installation

1. Clone the repository:

   git clone https://github.com/jmeegan2/Targeted_Resume
   cd Targeted_Resume

2. Install backend dependencies:

   cd server
   npm install

3. Install frontend dependencies:

   cd ../frontend
   npm install

Running the App

1. Start the backend server:

   cd server
   npm start

2. Start the frontend app:

   cd ../frontend
   npm start

3. Open your browser: Visit http://localhost:3000

Environment Variables

• Set your Google Gemini API key in a .env file in the server directory:

  GEMINI_API_KEY=your_api_key_here

• How to get an API key:
  1. Create a Google Cloud project if you don't have one already.
  2. Go to Google AI Studio API Keys and create a new key for your project.

Deployment

• The backend server is containerized and deployed using Railway, which packages the Node.js/Express application and runs it in the cloud.
• The frontend is hosted on Vercel, providing fast and reliable static site hosting for the React application.

License

MIT

Photos

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ToDO: add context to chatbot AI