Developed a cutting-edge resume parsing application that leverages the power of Large Language Models (LLMs) to extract information from resumes with superior accuracy compared to traditional Optical Character Recognition (OCR) methods. Key Features: LLM Driven Extraction: Utilized advanced LLMs to intelligently understand and interpret the semantic meaning within resumes. Structured Output: Transformed unstructured resume data into a clean, structured format for easy integration with Applicant Tracking Systems (ATS), databases, and other HR software.