International Journal of Scientific Research and Engineering Development

An AI Agent-based framework for automated data analysis and intelligent decision-making. The system integrates machine learning algorithms, data preprocessing techniques, and decision-support mechanisms to improve accuracy and efficiency. The rapid growth of data in modern digital systems has created a demand for intelligent methods to analyze information and support decision-making processes. Traditional data analysis techniques often struggle with scalability, efficiency, and adaptability when dealing with large and complex datasets. Artificial Intelligence (AI) agents offer a promising solution by automating data processing and enabling intelligent decision-making based on learned patterns. This paper proposes an AI agent-based framework for data analysis and decision-making that integrates machine learning algorithms, data preprocessing techniques, and decision support systems. The proposed system is capable of collecting data from multiple sources, cleaning and transforming it, and applying predictive models to generate meaningful insights. The AI agent continuously learns from historical and real-time data, allowing it to adapt to changing environments and improve its performance over time. The research highlights the potential of AI agents in various applications such as healthcare, finance, business intelligence, and smart systems.

Dr.N.Dhivya, Ms.B.Vishalachi,"AI Agent For Data Analysis and Decision Making" International Journal of Scientific Research and Engineering Development, V9(3): Page(1180-1185) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.