• Developed a Chrome extension to get a detailed summary of a GitHub Repository using LLM. • It uses Langchain to interact with gpt-3.5-turbo from OpenAI. Flask is used as a backend server to handle the requests. • It traverses through each code file in the repository and stores the summary of it. At the end, model summarizes all the stored summaries into one final response. • Learned how to use LLM using Langchain. And also how to build a web extension.