CV Parser is a web-based AI application designed to automate the extraction and analysis of resume data. Users can upload resumes in PDF, JPG, or PNG format. The app performs the following: Text Extraction: Uses PyMuPDF for digital PDFs and Tesseract OCR for scanned documents and images. AI-Powered Analysis: Sends extracted resume text to the Groq-hosted LLaMA 3 model to: Parse structured JSON fields (name, email, phone, etc.) Recommend 2–3 relevant career fields based on the resume content Data Storage: Automatically logs parsed results to a connected Google Sheet for easy access, reporting, or recruitment pipelines. This tool helps recruiters, HR platforms, and job portals automate resume handling and job matching processes efficiently using cutting-edge LLMs and OCR technologies. Technology & Category Tags AI OCR LLaMA3 Groq API Resume Parsing Google Sheets API Gradio Python Document Analysis Job Matching PDF Processing Tesseract PyMuPDF
Category tags:Muhammad Muavia Ateeq
Shawaiz Khan
Muhammad Ammar Zia
Muhammad Usama Masood
Data Scientist
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Muhammad Hassan Raza