AI Job Matching Portal

### Project Overview

Developed an **Agentic AI-Powered Job Search Portal** using Python, LangChain, LangGraph, and Groq LLMs to streamline job discovery, automate job-data processing, and identify relevant employment opportunities based on candidate skills.

The application integrates web search capabilities with an intelligent agent workflow to collect job listings, process and organize job information, store records in a database, and perform skill-based job matching and ranking.

### Key Features & Implementation

**1. Automated Job Discovery**
- Integrated Tavily Search API to collect relevant job opportunities from the web.
- Supports searches for targeted job titles, including Data Scientist, Junior Data Scientist, and Machine Learning Analyst.
- Collects job information based on technical skills and search keywords.

**2. Data Extraction & Processing**
- Developed Python modules to extract, clean, and organize job information.
- Implemented duplicate handling to maintain organized job records.
- Structured collected information for efficient database storage and retrieval.

**3. Database Management**
- Integrated SQLite for persistent job-data storage.
- Implemented database operations for inserting, retrieving, and managing job-search results.
- Created structured queries to retrieve relevant job opportunities.

**4. Intelligent Job Matching**
- Developed skill-based matching functionality to compare job requirements against a predefined candidate skill profile.
- Implemented keyword-based job search and skill coverage analysis.
- Built a weighted ranking mechanism to prioritize relevant job opportunities.

**5. Agentic AI Workflow**
- Integrated LangChain and Groq LLMs to build an AI-powered agent.
- Used LangGraph to structure the workflow with state management, conditional routing, and specialized processing nodes.
- Implemented separate workflow stages for job searching, matching, ranking, and response generation.
- Added error-handling mechanisms to improve workflow reliability.

**6. Job Market Analytics**
- Developed an analytics module to examine collected job-search data.
- Organized job information to support further analysis of job-market trends and technical skill requirements.

### Technologies & Tools

Python | LangChain | LangGraph | Groq LLM | Tavily Search API | SQLite | SQL | Pydantic | uv | Git | GitHub

### Project Objective

The primary objective is to demonstrate how Agentic AI can simplify job discovery by combining automated web research, structured data processing, database management, and intelligent skill-based job matching into a unified workflow.