Smart IRCTC Seat Allocation System Using AI-ML

In conclusion, the Smart-IRCTC project successfully demonstrates the design and feasibility of a modernized, intelligent transit and ticketing platform that addresses the limitations of traditional railway portals. By leveraging the MERN stack, the application introduces critical enhancements in routing, seat allocation, fare pricing, and transactional workflows. The implementation of a multi-hop routing engine effectively resolves travel planning challenges by finding layover connections when direct trains are unavailable. Additionally, the Haversine-based pricing engine and telescopic discount formulas successfully model the economics of long-distance transit, ensuring fair pricing while supporting dynamic surcharges like Tatkal and GST.   The project also makes a significant contribution to accessibility and resource management through its smart seat allocation algorithm. By prioritizing passengers with disabilities using UDID verification and dynamically releasing vacant accessible seats to senior citizens after chart preparation, the system balances social responsibility with optimized capacity utilization. Furthermore, integrated features such as lodging recommendations, cached traveler master lists, and an internal e-wallet system significantly improve the user checkout experience and reduce transaction drop-offs. Ultimately, Smart-IRCTC provides a scalable blueprint  for  next-generation  public  transport  systems, showing how modern web technologies and smart heuristics can improve passenger convenience and railway efficiency.  

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