Resume Analyzer 📄🔍

An automated Resume Analyzer built on the MERN stack designed to help recruiters streamline the hiring pipeline. Instead of manually screening hundreds of applications, this tool parses candidate profiles, evaluates qualifications, and matches applicants with their best-suited job roles based on their core competencies.

Built using the AGILE methodology, the project follows clean, modular, and highly scalable architecture principles.

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🚀 Key Features

• Single Resume Analysis: Processes one comprehensive resume at a time for deep, contextual parsing.
• Role Alignment: Automatically determines and suggests the best-suited career roles that match the candidate's skill set.
• Recruiter Dashboard: Eliminates manual scanning effort by extracting key metrics instantly.
• Structured Processing: Dedicated backend pipelines for seamless file handling, text extraction, and analytics parsing.

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🏗️ Repository Architecture

The project maintains a strict separation of concerns between client interface and server logic:

├── Frontend/             # React application (UI/UX components, state management)
└── backend/              # Node.js & Express server application
    ├── node_modules/     # Server-side dependencies
    ├── routes/           # REST API endpoints mapping controller actions
    ├── uploads/          # Temporary local storage for uploaded resumes
    ├── utils/            # Helper classes, text parsers, and processing logic
    ├── .gitignore        # Version control exclusions
    ├── package.json      # Backend dependency manifests
    └── server.js         # Application entry point

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🛠️ Tech Stack

• Frontend: React.js, HTML5, CSS3, JavaScript (ES6+)
• Backend: Node.js, Express.js
• Database: MongoDB (MERN standard compliance)
• Processing: File parsing utilities for document scanning

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⚡ Getting Started

Prerequisites

• Node.js (v14+ recommended)
• MongoDB (Local or Atlas instance)

Installation & Setup

1. Clone the repository:

   git clone https://github.com/Rahulkumar240/AiResumeanalyzer.git
   cd AiResumeanalyzer

2. Configure the Backend:

   cd backend
   npm install
   # Create a .env file and configure your PORT and MONGODB_URI
   npm start / node server.js

3. Configure the Frontend:

   cd ../Frontend
   npm install
   npm start

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📈 Development Methodology

This project was built following the AGILE Framework:

• Iterative feature releases (Incremental delivery of processing tools).
• Modular code splitting for component scalability.
• Continuous integration optimization across backend router architectures.

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👤 Author

• Rahul Kumar - Rahulkumar240