Resume analyzer and job scraper using langchain and selenium

📌 Introduction

This AI-powered application leverages LangChain and OpenAI to analyze resumes, summarize content, identify strengths and weaknesses, and recommend optimized job titles. It also automates LinkedIn job data scraping using Selenium.

🚀 Features

✅ LangChain-Powered Resume Analysis

Resume Text Extraction: Extracts content using PyPDF2.
Chunking & Vector Embeddings: Uses LangChain’s RecursiveCharacterTextSplitter & FAISS for efficient retrieval.
LLM-Based Insights:
- 📌 Summarization: Generates a concise professional summary.
- 📌 Strength & Weakness Analysis: Highlights key skills & gaps.
- 📌 Job Title Suggestions: Suggests roles based on resume content.
QA System: LangChain’s load_qa_chain answers specific resume-related queries.

✅ LinkedIn Job Data Scraper

Automates job searches using Selenium.
Scrapes job titles, locations, companies, and descriptions.

🛠️ Tech Stack

Python
LangChain
OpenAI (GPT)
FAISS
Selenium
Streamlit
PyPDF2, NumPy, Pandas

📥 Installation

pip install numpy pandas streamlit streamlit_option_menu streamlit_extras \
            PyPDF2 langchain openai tiktoken faiss-cpu selenium