Resume Analyzer
An AI-powered assessment tool designed to optimize resumes for ATS systems through semantic matching and targeted impact feedback.
Navigating the ATS Filter
Most job seekers struggle to understand why their resumes are rejected by automated Applicant Tracking Systems (ATS). Generic feedback is rarely helpful. I built Resume Analyzer to provide objective, semantic scoring that explains exactly how well a resume aligns with a specific job description.
Built End-to-End
As the solo engineer, I developed a custom **PDF parsing pipeline** to extract structured data from unstructured resumes. I then integrated large language models to perform semantic context matching, allowing the system to understand not just keywords, but the actual "impact" and "intent" behind the user's experience.
Analysis Hub
Clean interface for PDF uploads and job description comparison.
Impact Insights
Detailed score breakdowns and AI-generated improvement guidance.
Engineering the Solution
PDF Context Extraction
Solved the complexity of varying PDF layouts by implementing a multi-pass parsing strategy that reconstructs document flow before analysis.
Semantic Scoring
Designed custom AI prompts to move beyond simple keyword counting toward a "matching score" based on seniority and sector-specific terminology.
Categorized Technologies
Frontend
Backend & AI
Database
Deployment
Results & Impact
The platform provides actionable, data-driven feedback that helps job seekers iterate on their resumes with confidence. By demystifying the ATS process through AI, it serves as a high-value utility for modern professional branding and career growth.