Autonomous CV Analyzer Agent

An agentic AI system designed to streamline the hiring process by extracting structured data from PDF resumes and job descriptions. The system leverages a local Large Language Model (TinyLlama) for requirement analysis and utilizes a custom scoring algorithm to provide a quantitative match between candidate profiles and job roles.

Key Features

• Automated PDF text extraction and preprocessing from unstructured documents
• Deterministic skill identification using optimized Regex-based parsing
• LLM-powered (TinyLlama) skill extraction from complex job descriptions
• Quantitative scoring engine with automated skill normalization and matching
• Interactive Streamlit dashboard for real-time candidate analysis and visualization
• Robust fallback mechanisms to maintain system reliability during LLM processing

Tech Stack

Screenshots