CareerSync AI - Resume Skill Matcher

AI-powered resume analysis tool that matches resumes against job descriptions using NLP.

flowchart TD;
    subgraph "Frontend (React + Tailwind CSS)"
        UI[User Interface]
    end
    subgraph "API Layer (Flask + Swagger)"
        API[Flask API Server] -->|Handles requests| Analyzer[Resume Analyzer]
        API -->|Swagger UI| Docs[API Documentation]
    end
    subgraph "Backend (NLP + Machine Learning)"
        NLP[spaCy NLP Processor] -->|Extracts skills| Matcher[Resume-Job Matcher]
        Matcher -->|Calculates similarity| Scoring[Scoring Engine]
        Scoring -->|Returns match %| Response[API Response]
    end
    subgraph "Storage & Processing"
        PDFParser[PDF Text Extractor] -->|Extracts text| NLP
        SkillsDB[Skills Data JSON] -->|Loads patterns| NLP
        TempStorage[Temporary Storage] -->|Stores uploaded files| PDFParser
    end
    subgraph "Client Interaction"
        UI -->|Sends resume & job description| API
        Response -->|Returns analysis result| UI
    end
    API -.->|Logs requests| Logs[Logging System]

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Features

• PDF resume parsing and analysis
• Job description matching
• Categorized skill extraction and scoring
• Detailed recommendations
• Analysis report downloads
• Interactive UI with real-time feedback

Project Architecture

Frontend (React + Tailwind CSS) <-> API (Flask + Swagger) <-> Backend (spaCy NLP)

Tech Requirements

• Python 3.8+
• Node.js 14+
• npm/yarn

Installation

Backend Setup

cd backend
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
python -m spacy download en_core_web_sm

Frontend Setup

cd frontend
npm install

Environment Setup

Create .env in frontend directory:

REACT_APP_API_URL=http://localhost:5000/api/v1

Project Structure

careersync-ai/
├── backend/
│   ├── app.py                # Flask API
│   ├── requirements.txt      # Python dependencies
│   └── skills_data.json     # Skill patterns and weights
├── frontend/
│   ├── public/              # Static assets
│   ├── src/
│   │   ├── components/      # React components
│   │   ├── App.jsx         # Main app component
│   │   └── index.js        # Entry point
│   ├── .env                # Environment variables
│   └── package.json        # Node dependencies
└── README.md

Running the Application

Backend

cd backend
python app.py
# Swagger UI: http://localhost:5000/swagger

Frontend

cd frontend
npm start
# Access: http://localhost:3000

API Documentation

POST /api/v1/analyze

Analyzes resume against job description.

Request:

• Method: POST
• Content-Type: multipart/form-data
• Body:
  • resume: PDF file
  • job_description: string

Response:

{
  "status": "success",
  "timestamp": "2024-12-31T12:00:00Z",
  "analysis": {
    "overall_match": 75.5,
    "skill_match": 80.0,
    "matching_skills": ["python", "react"],
    "missing_skills": ["aws"],
    "recommendation": "Strong Match"
  }
}

UI Documentation

Contributing

1. Fork repository
2. Create feature branch
3. Commit changes
4. Push to branch
5. Open pull request

License

MIT

Support

For support, email [email protected]