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Gemma-3 OCR exemplifies the confluence of abstruse computer vision and arcane NLP, leveraging Gemma-3 Vision’s neural framework for precise OCR and semantically refined text curation. Powered by Streamlit and Ollama, this hermetic system converts visual data into perspicuous, markdown-rendered output, ensuring maximal accuracy and confidentiality.
Official Implementation of Fin-ExBERT: A GNN augmented BERT model finetuned on financial data capable of performing Natural Language Inference and User instructed Text Extraction tasks
File Extractor Pro is a GUI application to extract and process files based on specified criteria. It allows users to include or exclude files based on extensions, include hidden files, and generate detailed extraction reports.
A Flask-based web app integrated with Twilio that automatically receives resumes via WhatsApp, extracts candidate details (name, email, phone), and stores them in Google Sheets and Drive using NLP and regex-based text extraction.
Advanced PDF layout analysis engine for extracting figures, tables, and structured content from complex engineering documents using computer vision and machine learning.
A powerful Python tool for validating OCR accuracy by comparing extracted text from images against expected results, with real-time monitoring capabilities and detailed similarity metrics.
Automated Resume Parser – Built at Codec Technologies during internship. Designed an intelligent parser that extracts candidate details (name, contact, skills, experience, education) from PDF/DOCX resumes and converts them into structured data, enhancing recruitment efficiency.
AI-powered document analysis service combining AWS Textract, Bedrock, and intelligent blur detection. Supports CLI and serverless Lambda API for Malaysian documents (licenses, receipts, ID cards, utility bills).