SeatRush – AI-Powered Railway Reservation & Concurrency Management System

SeatRush is an AI-powered railway reservation simulation platform designed to demonstrate how booking systems handle thousands of users trying to reserve limited seats at the same time.

Imagine 10,000 users trying to book just 144 train seats simultaneously. Without proper management, this can lead to double bookings, booking failures, unfair seat allocation, and server overload.

SeatRush addresses these challenges through a smart waiting room, real-time seat availability, temporary seat locking, and multiple concurrency management strategies.

The platform allows users to enter a virtual booking system, wait for their turn, select available berths, enter passenger details, and complete a simulated payment process. Once a berth is selected, it is temporarily held to prevent other users from booking the same seat.

One of its interesting features is Machine Learning-based bot detection. It analyses simulated user behaviour, such as clicking patterns, request frequency, and interaction timing, to identify suspicious automated users.

SeatRush also includes a powerful control room where administrators can monitor booking activity, seat availability, waiting queues, bot detection, and double-booking incidents in real time.

The project supports five concurrency strategies: Naive, Global Lock, Per-Berth Lock, Compare-and-Swap (CAS), and Single Writer. These strategies can be compared using built-in simulations to understand how different approaches handle high-demand booking scenarios.

The platform also includes a rush simulator that can generate up to 10,000 virtual users, helping students evaluate system performance and understand real-world challenges in distributed and concurrent applications.

Note: SeatRush is an educational railway reservation simulation project. It does not connect to IRCTC or perform actual railway ticket bookings.