Effective Analysis of Data Processing on Cloud using Serverless Computing

In today's digital ecosystem, the efficient processing and analysis of documents is essential across various domains, from corporate environments to educational settings. This project presents an advanced solution for intelligent document processing, leveraging a serverless architecture with AWS Lambda and the Google Gemini AI model. Our approach involves the automated extraction and analysis of content from diverse document types-such as PDFs, CSVs, and Excel files-stored in an Amazon S3 bucket, with Lambda functions tailored to handle and process each format. By utilizing the capabilities of the Gemini AI model, our system further enables the generation of contextually accurate responses to questions posed about the document content, providing real-time insights and facilitating user interaction with large datasets. This project aims to streamline document management workflows, improving accessibility and understanding of unstructured text. The findings and applications of this work are beneficial for organizations, educators, and developers who require efficient, AI-powered document processing to enhance productivity and user engagement.