AI-Powered Text Extraction Using Integrated NLP and Computer Vision Technologie

Description :

This project aims to develop an AI-driven system that extracts and interprets text from scanned documents, images, andPDFs using advanced NLP and CV technologies. By integrating models like Llama 3.2 Vision or Claude 3.5 Sonnet, the system will process raw data, perform imagerecognition, and apply NLP techniques to categorize the extracted information. The goal is to automate data extraction, reducing manual effort and improving reliability for applications such asdocument digitization and data entry automation.

Missions :

• Design an AI-driven system to extract and interpret text from scanned documents and images.
• Integrate advanced NLP and computer vision models to process and categorize data.
• Automate information extraction to reduce manual effort and enhance reliability.

Requirement :

Python, Hugging Face Transformers, spaCy, NLTK, OpenCV, TensorFlow, PyTorch, Tesseract OCR, EasyOCR

Date d’expiration: 12 décembre, 2024