What the platform does
AI Resume Matcher analyzes your resume and job descriptions using semantic AI to reveal real alignment, skill gaps, and opportunities.
Semantic Resume Analysis
Your resume is parsed into structured text and analyzed using embeddings to capture meaning, not just keywords.
AI Match Scoring
Job descriptions are compared against your profile using vector search and LLM reasoning to produce a realistic match percentage.
Evidence-Based Insights
Instead of generic feedback, the system explains exactly why a match is strong or weak and highlights missing requirements.
How the system works
The platform combines multiple AI techniques to simulate how a technical recruiter evaluates candidates.
Text extraction
Resume content is normalized and structured for AI processing.
Semantic chunking
Both resume and job description are split into meaningful, contextual segments.
Vector matching
Embeddings detect semantic similarity between candidate evidence and job requirements.
LLM reasoning
AI evaluates evidence, identifies gaps, and generates the final score and summary.
Why this matters
Job searching is often inefficient because candidates don’t know how their profile maps to requirements. By revealing alignment and skill gaps, the platform helps you prioritize learning, applications, and career decisions strategically.