I Built an AI That Reads Job Descriptions Like a Hiring Manager — Full Stack Breakdown

Ever wonder why you keep applying to jobs and hearing nothing back? I built an AI system that reads job descriptions the way a hiring manager does — and the results were eye-opening. Here's the full technical breakdown. The Problem Job seekers spend 3-4 hours per week on average crafting applications. Most get zero response. The usual advice ("tailor your resume!") is correct but vague. Nobody tells you how to tailor it in a way that actually works. I wanted to build something that would: Parse a job description semantically, not just keyword-match Identify the actual requirements vs. the wish-list padding Score a candidate's profile against those real requirements Generate targeted rewrite suggestions Architecture Overview Job Description (raw text) ↓ [spaCy NLP pipeline] ↓ Entity extraction (skills, years, tools, soft skills) ↓ [Embedding layer — sentence-transformers] ↓ Semantic skill graph ↓ [Scoring engine] ↓ Gap analysis + rewrite suggestions Step 1: Parsing the Job Description M