With the increased interest of enterprises in finding reliability of their systems to work under different situations, resilience concept has got significant recognition. Reliability engineering is application of various principles, methods to make products work without any failure and in a cost efficient manner. Various parameters such as MTBF are used in calculating the failure rate of the system. The research is based on using pre trained model which uses API provided by the open AI. Open provides the API which is also used by chatgpt. Model responds to queries related to reliability of the system with help of a chatbot. Chatbot is an software application which mimics human like chats with the user. It is highly efficient and available which takes input in the form of text. The use of chatbot is increasing tremendously in various industries for various purposes. The popularity of Chat-GPT, which also uses the same Open AI API, has been rising dramatically in recent days. This AI-driven product has dominated the market and might be a huge help in providing responses to questions about resilience. As a result, to innovate and improve the dependability of systems, we have developed an implementation of ChatGPT. In this implementation, we will be utilizing natural language processing tools that will help us to boost user interaction by presenting innovative information about how systems function in various conditions.