Food Package Analysis using LLM
This project uses OCR and LLM to extract and segment nutritional information from food packaging, aiding retailers and analysis labs in data accuracy. The solution ensures compliance and improves the food labeling process.
About Project
The Food Package Analysis using LLM project focuses on leveraging Optical Character Recognition (OCR) and Large Language Models (LLM) to extract and semantically segment text, particularly nutritional values, from food packaging. This technology is crucial for food retailers and analysis labs that need accurate and efficient data extraction for compliance, inventory management, and product quality verification. By processing food labels in real-time, the system enhances the speed and accuracy of nutritional data extraction, helping businesses meet regulatory standards and ensure transparency in labeling.
