Real-Time Data Processing: Frameworks, Machine Learning Integration, and Traffic Analysis Using Computer Vision

Real-time data processing plays a vital role in modern applications, providing imme-diate insights across various domains. This paper reviews current frameworks, explores machine learning integration, and highlights challenges such as latency reduction and data security. Through a case study on real-time traffic analysis using computer vision, we demonstrate the effectiveness of real-time analytics and propose future research di-rections.