info@isol.pk 2nd Floor, 72, Westend Plaza, Shahrah-e-Quaid-e-Azam, Mozang Chungi, Lahore
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SKU: Soft-2

Metro Transit Smart Route Planner & Navigation System

Intelligent transit planning application calculating shortest paths, transfer points, dynamic ticketing fares, and real-time station scheduling across metro lines.

Rs 25000.00

100 In Stock
Tested & Quality Guaranteed 100% Tested Source Code with Dijkstra Algorithms. Instant Download.
Fast Local & Nationwide Shipping Same-Day Dispatch in Lahore | 2-3 Days COD to Karachi, Islamabad & All Pakistan.

### Metro Transit Route Optimization & Smart Booking System

A comprehensive transportation engineering software project implementing Dijkstra's and $A^*$ graph shortest-path algorithms to optimize urban transit journeys across complex multi-line metro rail and bus rapid transit (BRT) networks. Features interactive station maps, interchange minimization, and dynamic ticket QR code generation.

#### ⚡ Tech Stack & Features:
- **Algorithms**: Dijkstra's Algorithm, $A^*$ Heuristic Pathfinding, Topological Graph Sorting
- **Framework**: Django 5.x, Python, Leaflet.js / OpenStreetMap integration
- **Features**: Fare calculation, time estimation, interchange alerts, QR ticketing system

What's Included in the Package:

  • Complete Django Web Application Source Code
  • Graph Algorithm Pathfinding Module
  • Interactive Route Map Assets & Datasets
  • Complete Project Documentation (DOCX)
  • PowerPoint Presentation Slides (PPTX)

Key Features

Nearest Station Detection Suggests the closest station to the user’s location
Orange Line, Metro, Speedo station Integration Covers all Orange Line metro and Speedo routes for accurate guidance.
Route Finder Enter source and destination to get the best metro route.
Time-Saving Helps commuters plan ahead and reduce travel uncertainty.
User-Friendly Interface Simple, clean design for quick search and navigation.

Specifications

Backend Django (Python)
Deployment Dockerized container (manual installation requires extra setup cost of 5000)
Frontend HTML, CSS, JavaScript, Bootstrap
Note If You Need AnyKind of Code Snippet Related To This Project We Will Provide
Ram/Processor 8gb/3.5Ghz

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