#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.
