Downloads · 30 days
0
Railway-Project-IIT-KGP
Abhisingh-18/Railway-Project-IIT-KGP
Railway-Project-IIT-KGP is a machine learning model from Abhisingh-18. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
deployed link : https://railway-project-iit-kgp.onrender.com/
Access
Public
Updated Jul 13, 2026
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.js9.9 KB · 33%
At a glance
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026
- SHA
- a532898c
Model card
From the Hugging Face model README
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.
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026