Job Recommender System With

Upload your resume and get AI-powered job recommendations, skill gap analysis, and a personalized career roadmap --- powered by Groq LLaMA 3.3-70B and real-time job listings from LinkedIn & Naukri via Apify.

🔗 Live Demo:
https://chitaki10-job-recommender-system-with-mcp-app-eynbly.streamlit.app

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Table of contents

• Features
• Architecture
• Tech Stack
• Getting Started
• API Keys Setup
• MCP Tool Server
• Project Structure
• Results
• License

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Features

• Resume Parsing --- Extracts raw text from uploaded PDF résumés

using PyMuPDF\

• Resume Summary --- LLM summarizes your skills, experience, and

profile in seconds\

• Skill Gap Analysis --- Identifies missing skills, certifications,

and areas to improve\

• Career Roadmap --- Personalized 6--12 month plan: skills to

learn, projects to build, certs to pursue\

• Real-Time Job Recommendations --- Fetches live jobs from LinkedIn

and Naukri via Apify API\

• MCP Tool Server --- Core functions exposed as MCP tools

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Architecture

user uploads Résumé (PDF)
│
▼
Extract PDF Text (PyMuPDF)
│
▼
Groq LLaMA 3.3-70B (LLM)
│
├── Summary
├── Skill Gap
├── Career Roadmap
└── Job Keywords
│
├──────────────┬───────────────┐
▼              ▼
LinkedIn Jobs  Naukri Jobs
(Apify Actor)  (Apify Actor)
│
└──────────────┬───────────────┘
▼
Job Recommendations UI

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Tech Stack

Component Technology

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UI Streamlit LLM Groq API --- llama-3.3-70b-versatile PDF Parsing PyMuPDF Job Scraping Apify MCP Server mcp Python SDK Package Manager uv Deployment Streamlit Cloud

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Getting Started

clone Repository

git clone https://github.com/chitaki10/Job_Recommender_System_with_MCP.git
cd Job_Recommender_System_with_MCP

Install Dependencies

uv venv
uv add -r requirements.txt

Create .env file

GROQ_API_KEY=your_groq_api_key_here
APIFY_API_TOKEN=your_apify_api_token_here

Run App

uv run streamlit run app.py

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MCP Tool Server

Run MCP server:

uv run python mcp_server.py

Test with inspector:

npx @modelcontextprotocol/inspector uv run python mcp_server.py

Available tools:

• extract_text_from_pdf
• ask_groq
• fetch_linkedin_jobs
• fetch_naukri_jobs

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Project Structure

Job_Recommender_System_with_MCP/
│
├── app.py
├── mcp_server.py
├── requirements.txt
├── pyproject.toml
├── .env
├── .gitignore
│
└── src/
    ├── __init__.py
    └── helper.py

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Results

• Resume summary generated in seconds\
• Skill gap analysis provided\
• Career roadmap generated\
• 120 real-time jobs fetched

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Contact

GitHub: https://github.com/chitaki10 [email protected]