SIH 2026 | RailPredict – Dynamic Forecast of ETA for Coaching Trains | TrackPulse

🚆 RailPredict – Dynamic Train ETA Prediction Team TrackPulse presents RailPredict, a prototype developed for Smart India Hackathon 2026 under Problem Statement SIH26028: “Dynamic Forecast of Expected Time of Arrival (ETA) for Coaching Trains” 🔹 ABOUT THE PROJECT RailPredict is a real-time and data-driven train arrival prediction platform designed to provide continuously updated estimated arrival times for upcoming stations. Instead of relying only on the original timetable or displaying the train's current location, RailPredict focuses on forecasting the train's future arrival based on its current running condition and available historical and operational information. 🔹 HOW IT WORKS The system considers factors such as: • Current train location • Train speed • Current delay • Scheduled arrival time • Distance to upcoming stations • Historical train-running patterns • Route and operational conditions These inputs are processed by the prediction system to estimate arrival times for multiple upcoming stations. When new train information becomes available, the predictions can be recalculated to provide updated arrival information. 🔹 KEY FEATURES ✅ Train Search and Selection ✅ Current Train Location and Status ✅ Speed and Delay Information ✅ Predicted Arrival Time for Upcoming Stations ✅ Scheduled vs Predicted Arrival Comparison ✅ Prediction Factors ✅ Delay Propagation Analysis ✅ Dynamic Prediction Updates ✅ Passenger-Oriented Information ✅ Railway Operations Dashboard ✅ Scalable API-Based Architecture 🔹 TECHNOLOGY APPROACH Frontend: React.js / Next.js Backend: Python + FastAPI Database: PostgreSQL / MySQL Machine Learning: XGBoost / LightGBM Scikit-learn Pandas NumPy Maps & Real-Time Communication: Leaflet / OpenStreetMap WebSocket 🔹 IMPORTANT This video demonstrates the RailPredict prototype using demonstration/simulated data. It is a prototype developed for the Smart India Hackathon problem statement and does not represent live Indian Railways operational data. 🎯 PROJECT OBJECTIVE The main objective of RailPredict is to transform static schedule-based arrival estimates into continuously updated, data-driven predicted arrival times that can support both passengers and railway operations. 👥 TEAM Team Name: TrackPulse Project: RailPredict Smart India Hackathon 2026 Problem Statement: SIH26028 Theme: Smart Automation Thank you for watching! 🚆 #SmartIndiaHackathon2026 #SIH2026 #RailPredict #TrackPulse #TrainETA #TrainPrediction #MachineLearning #AI #SmartAutomation #RailwayTechnology #TrainTracking #ETA