Abstract:

In the era of digital transformation, e-commerce platforms generate massive volumes of data
from user transactions, behaviors, and trends. This paper presents a scalable and interactive system using Apache Spark for big data processing, Streamlit for user interface design, and Gemini AI for AI-driven insights. The proposed solution allows users to upload e-commerce datasets, perform real-time preprocessing and visualizations, and obtain intelligent insights powered by generative AI. With support for CSV export, PDF reporting, and theme-based user experience, the system aims to bridge the gap between technical analytics and business decision-making. The paper evaluates the system’s performance, usability, and scope for future
enhancements.

Keywords: Apache Spark, E-commerce Analytics, Generative AI, Streamlit Dashboard, Big Data Processing , Artificial Intelligence, Transportation, Safety.