🚀 基于InterVL和RAGFlow的工程文档智能解析与RAG问答系统 | Engineering Document OCR & RAG Q&A System

DocuShield is a hybrid AI document risk analysis system that processes legal contracts using AWS Textract for OCR and Groq-powered LLMs for reasoning. It runs on Kubernetes, stores results in DynamoDB, supports clause-level RAG, and focuses on real-world AI system engineering, not model training.

project focused on applying data mining techniques to enhance chunk quality in Retrieval-Augmented Generation (RAG) systems. using OCR-generated data and applied data analysis, feature engineering, and unsupervised learning techniques to improve overall RAG performance.

Welcome to my GitHub! I'm Jyothir Raghavalu Bhogi, an AI-driven Software Engineer focused on Machine Learning and Data Engineering. Explore my portfolio for RAG-based systems, OCR pipelines, and research on accessible AI. Open to collaboration and innovation in tech!

AI Edu Assistant is an AI-powered educational support system developed as part of the TR103 Prompt Engineering training program. The project demonstrates the practical integration of Generative AI, Retrieval-Augmented Generation (RAG), OCR, and Large Language Models to automate academic content processing and study material generation.