Smart Job Matching App with Django, ML & LLMs: A Deep Dive

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LAST UPDATED
April 15, 2025

Smart Job Matching App with Django, ML & LLMs: A Deep Dive

In today's fast-paced job market, finding the right job or candidate can be overwhelming. To simplify this, I built a Job Search Web Application that automatically matches job seekers' resumes with job postings using advanced AI models—specifically LLMs (Large Language Models) and machine learning. In this blog, I'll walk you through the technologies, architecture, and magic behind the scenes. Tech Stack Used List the technologies and briefly describe their roles. Backend: Django – for building APIs and managing backend logic. Frontend: HTML, CSS, JavaScript, Bootstrap – for creating a clean and responsive UI. Machine Learning: For extracting and preprocessing resume and job data. LLM (e.g., OpenAI/GPT): For semantic matching between resumes and job descriptions. LangChain: For prompt management, retrieval-augmented generation (RAG), and chaining LLM calls