AI-Driven Rail Madad Complaint Management System

Indian Railways have had a lot of trouble managing passenger complaints because they get so many and their automated systems are not good enough. This is a problem for them. The project I am talking about is called "Rail Madad". It is a complete solution to this problem. Rail Madad has a user interface that's easy to use and a secure backend. It also has two parts that use artificial intelligence: one that helps sort out complaints and a chatbot that answers user questions. We built Rail Madad using a few tools. We used Node.js and Express to build the parts of the system that different applications can talk to. We used MongoDB to store all the complaints. We used Python to build a classifier that uses machine learning to categorize the complaints. We tested Rail Madad using complaints to see how well it worked. We looked at how accurate it was how easy it was to use and how long it took to respond. The results show that Rail Madad is an improvement over the old manual ways of handling complaints. It helps Indian Railways prioritize and resolve complaints more efficiently. Rail Madad is an useful tool, for Indian Railways and it can help them manage passenger grievances much better. This research's instrumental work is (i) a complaint automated system for categorization, (ii) prioritization depending on the degree of severity, (iii) a chatbot passenger interaction facilitation, and (iv) an end-to-end frontend-backend-ML pipeline integration for railway grievance management.