Resume Analyzer

A modern web application for analyzing and managing resumes with AI-powered insights.

🚀 Overview

Resume Analyzer is a comprehensive tool designed to streamline the resume review process. The application allows users to upload resumes, automatically extracts key information, and provides AI-powered analysis and insights. With a clean, modern interface, users can easily manage and review multiple resumes.

Key Features

• Resume Upload & Processing: Upload PDF or DOCX resumes for automatic information extraction
• AI-Powered Analysis: Get detailed feedback, strengths, improvement areas, and potential role matches
• Resume Management: View, search, and manage all previously uploaded resumes
• Detailed Resume Visualization: Clean, organized display of resume information with interactive elements
• Responsive Design: Works seamlessly across desktop and mobile devices

🏗️ Architecture

The project follows a modern client-server architecture:

• Frontend: Next.js React application with TypeScript
• Backend: FastAPI Python application
• Database: SQL database for resume storage and retrieval

ai-resume-parser/
├── backend/         
├── frontend/
├── sample/    
└── README.md        

Demo

🛠️ Tech Stack

Frontend

• Next.js: React framework for server-side rendering and static generation
• TypeScript: Type-safe JavaScript
• Tailwind CSS: Utility-first CSS framework
• shadcn/ui: High-quality UI components built with Radix UI and Tailwind
• Framer Motion: Animation library for React
• Axios: HTTP client for API requests

Backend

• FastAPI: Modern, fast web framework for building APIs with Python
• Pydantic: Data validation and settings management
• SQLAlchemy: SQL toolkit and ORM
• PyPDF2/docx2txt: PDF and DOCX parsing libraries
• LLM Integration: AI-powered resume analysis

🚀 Getting Started

Prerequisites

• Node.js (v16+)
• Python (v3.9+)
• npm or yarn
• pip

Installation

1. Clone the repository:

git clone https://github.com/MohitGoyal09/ai-resume-parser
cd ai-resume-parser

2. Set up the frontend (see Frontend README for detailed instructions):

cd frontend
npm install
npm run dev

3. Set up the backend (see Backend README for detailed instructions):

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

4. Open your browser and navigate to http://localhost:3000

📋 API Documentation

The API documentation is available at http://127.0.0.1:8000/docs when the backend server is running.

Key Endpoints

• POST /api/v1/resumes/upload: Upload and process a resume
• GET /api/v1/resumes/: List all resumes
• GET /api/v1/resumes/{resume_id}: Get details of a specific resume

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

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