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deployed link : https://railway-project-iit-kgp.onrender.com/
#Project Overview The project is a Railway Train Scheduling Optimization System using Mixed-Integer Linear Programming (MILP) with the PuLP library in Python. It optimizes train schedules on the Delhi-Howrah corridor, managing constraints like headway, running times, and dwell times. It features a Flask web interface and generates Gantt charts for visualization.
#Proposed Structure Project Title & Banner: Clear title and optional status badges. About the Project: brief description of what it does and the technologies used (Flask, PuLP, Python).
#Features: MILP Optimization Model. Conflict Resolution (Headway constraints). Dynamic Scheduling. Visual Gantt Charts. Tech Stack: Python, Flask, PuLP, Google Charts (for Gantt), HTML/CSS. Installation & Local Run: Clone repo. Install dependencies (pip install -r requirements.txt). Run app (python app.py). Deployment: Instructions for Render (referencing the guide). Screenshots: (Optional placeholders). Verification Plan Manual Verification Review the generated markdown for formatting and clarity. Ensure all links and commands are correct.