AI-Powered Resume Analyzer | LangChain + Streamlit Case Study (PDF/DOCX → CSV)

AI-Powered Resume Analyzer | LangChain + Streamlit Case Study (PDF/DOCX → CSV)

Alternative Title Options (You can choose based on style)

Build an AI Resume Analyzer using LangChain | Real-World Case Study

Automating Resume Screening with AI | LangChain + CSV Generator

AI Resume Parsing System | LangChain, LLMs & Streamlit Explained

From ZIP Resumes to CSV using AI | LangChain Project Walkthrough

📝 YouTube Description (Professional + SEO-Friendly)

🚀 AI-Powered Resume Analyzer & CSV Generator using LangChain – Case Study

In this video, I present a real-world AI project that automates resume analysis for HR and recruitment teams using Large Language Models (LLMs) and LangChain.

Recruiters often receive resumes in bulk ZIP files containing PDFs and DOCX formats. Manual screening is time-consuming and inconsistent. This project solves that problem using an LLM-driven pipeline that converts unstructured resumes into structured CSV data.

🔍 What This System Does:

✔ Uploads a ZIP file containing multiple resumes
✔ Reads PDF & DOCX resumes automatically
✔ Extracts structured candidate information using LLMs
✔ Enforces schema using LangChain Structured Output Parsers
✔ Generates a clean CSV file for easy filtering
✔ Built with Streamlit for user interaction

🧠 Technologies Used:

LangChain

Prompt Templates

Structured Output / TypedDict Parsers

LLMs

Python

Streamlit

CSV Automation

🎯 Use Cases:

HR Resume Screening Automation

AI-based Recruitment Tools

Resume Parsing & Talent Analytics

Real-world LLM Application

📌 This project is ideal for:

AI / ML Enthusiasts

Data Science Students

HR Tech Developers

LangChain Learners

Resume Automation Systems

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💬 Drop your questions or feedback in the comments!

#AIProjects #LangChain #ResumeAnalyzer #LLM #Streamlit
#DataScience #MachineLearning #HRTech #AIRecruitment