CV Processing and Validation Web Application

This enterprise-grade application automates the initial screening phase of recruitment. It combines a Spring Boot backend with OpenAI's GPT models to transform unstructured PDF resumes into structured data. The system features a custom-built Java validation engine that runs complex business logic—checking for specific experience years, mandatory tech stacks (Java, LLMs), and language proficiencies—while providing a real-time, reactive frontend for HR professionals.

Key Features

• LLM-Powered Data Extraction: Integrated OpenAI's API to parse unstructured text into strictly typed JSON objects using custom prompt engineering and Jackson-based mapping.
• Robust PDF Processing Pipeline: Leveraged Apache PDFBox for high-fidelity text extraction from multi-page documents before processing through the AI layer.
• Custom Business Logic Engine: Developed a Java-based validation service that performs deep analysis on extracted data (Experience years, Skill correlation, and Profile sentiment).
• Clean RESTful Architecture: Built a modular Spring Boot controller system with separate concerns for Document Handling, AI Integration, and Data Validation.
• Full-Stack Interaction: Designed a modern HTML5/CSS3 frontend that communicates with the API via asynchronous Fetch calls, featuring real-time compliance reporting and progress tracking.
• Enterprise Security & Config: Implemented environment-variable-based API key management and a global CORS configuration for secure, cross-origin web access.

Tech Stack

Screenshots

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