DemoGPT leverages the power of Language Models (LLMs) to provide fast and effective demo creation for applications. Automates the prototyping process, making it more efficient and saving valuable time. Understands and processes the given prompts to generate relevant applications. Integrated with LangChain for generating application code through iterative parsing of LangChain's documentation with a "Tree of Transformations" (ToT) approach. The roadmap for DemoGPT includes constant updates and improvements based on user feedback and real-world application, working towards refining the technology and solving the hallucination problem. "We are planning to introduce features that will further enhance the application generation process, making it more user-friendly and efficient."