Automating Quality Control with Real-Time Imaging
Our project leverages cutting-edge smart vision technology and AI-driven algorithms to revolutionize quality control and freshness detection in the Quick Commerce industry. By integrating OCR for automated data extraction, real-time imaging, and advanced analytics, we streamline operations such as billing, inventory management, and product classification. Key features include automated product counting, brand matching, and flavor detection, along with a powerful freshness prediction system for produce. Utilizing open-source datasets and machine learning models, the system enhances supply chain efficiency, reduces waste, and ensures customer satisfaction with accurate, real-time insights.