This project involved developing a smart system to detect AI-generated text using Agentic Retrieval-Augmented Generation (RAG) and Python. The system leverages agentic workflows and custom retrieval pipelines to analyze content and accurately identify whether it was generated by AI.
Designed for educators, content creators, and platforms concerned with content authenticity, the tool provides reliable detection while maintaining efficiency and scalability. By combining advanced AI methods with custom workflows, this project demonstrates a practical application of AI in maintaining content integrity and trustworthiness.
