Smart-India-Hackathon-2024

Creovate's Submission for SIH'24

📸 Application Screenshots

Main routing interface showing ship route optimization

Advanced route visualization with environmental data overlay

Ship Routing Optimization System

A full-stack Ship Routing Optimization System designed to enhance navigational accuracy and adaptive routing for maritime operations. This system leverages advanced algorithms and real-time environmental data to provide optimized ship routes, achieving significant improvements in travel efficiency and cost reduction.

🚢 Overview

This project addresses the critical challenge of optimizing ship routes by implementing a comprehensive solution that combines cutting-edge algorithms with real-time data integration. The system is particularly focused on the Indian Ocean region but is designed to be adaptable for global maritime operations.

✨ Key Features

• 🧭 Advanced Routing Algorithm: Implements the Isochrone A* algorithm for optimal navigation paths considering time and environmental factors
• 📡 Real-time Data Integration: Utilizes live environmental data (currents, waves, winds) for enhanced routing accuracy
• 🌊 Ocean Grid System: Sophisticated maritime data processing system for accurate route calculations
• ⚡ Efficiency Gains: Achieved 13% improvement in travel efficiency through optimized route planning
• 💰 Cost Reduction: Significantly reduces fuel consumption and operational costs
• 🖥️ Full-Stack Architecture: Modern web-based interface with robust backend processing

🛠️ Technical Stack

Backend

• Python - Core processing engine
• Flask - RESTful API framework
• Pandas - Data manipulation and analysis
• Xarray - GRIB data handling
• GeoPandas - Geospatial data processing

Frontend

• Tauri.js - Desktop application framework
• React - User interface library
• Vite.js - Build tool and development server

Data Formats

• GRIB - Weather and oceanographic data
• Shapefiles - Geographical boundaries and features
• JSON - Configuration and port data

🏗️ System Architecture

┌─────────────────┐    HTTP/API    ┌──────────────────┐
│   Frontend      │◄──────────────►│    Backend       │
│   (Tauri.js)    │                │    (Flask)       │
│                 │                │                  │
│ • User Interface│                │ • Route Calc     │
│ • Visualization │                │ • Data Processing│
│ • Map Display   │                │ • API Endpoints  │
└─────────────────┘                └──────────────────┘
                                            │
                                            ▼
                                   ┌──────────────────┐
                                   │   Data Sources   │
                                   │                  │
                                   │ • GRIB Files     │
                                   │ • Shapefiles     │
                                   │ • Ship Data      │
                                   │ • Port Info      │
                                   └──────────────────┘

The system follows a client-server architecture where:

• Frontend: Provides user interface for voyage parameters input and route visualization
• Backend: Processes routing requests using the Isochrone A* algorithm and manages environmental data
• Data Layer: Handles various data types including real-time forecasts and geospatial information

🎯 Problem Statement

Original Challenge: Development of a versatile and fast algorithm for optimal ship routing

The shipping industry faces significant challenges in route optimization due to:

• Heavy reliance on fossil fuels and associated costs
• Need to balance multiple parameters (fuel efficiency, travel time, safety, comfort)
• Dynamic weather conditions requiring continuous route adaptation
• Lack of publicly available applications for Indian Ocean region

This system addresses these challenges by providing a comprehensive solution that optimizes voyage time and safety while considering fuel efficiency.

🚀 Getting Started

Prerequisites

• Python 3.8+
• Node.js 16+
• Rust (for Tauri)

Installation

1. Clone the repository

   git clone https://github.com/yourusername/ship-routing-optimization.git
   cd ship-routing-optimization

2. Backend Setup

   cd backend
   pip install -r requirements.txt

3. Frontend Setup

   cd frontend
   npm install

Running the Application

1. Start the Backend

   cd backend
   python app.py

2. Start the Frontend

   cd frontend
   npm run tauri dev

📊 Data Sources

• Environmental Data: INCOIS OSF Portal for surface currents and wave forecasts
• Weather Data: Surface wind forecasts provided by INCOIS
• Additional Data: Available through INCOIS collaboration

🎥 Resources

• Visualizing the Optimal Ship Routing Problem
• Further Insights into Ship Routing

🏢 Project Information

• Organization: Ministry of Earth Sciences
• Department: Indian National Center for Ocean Information Services (INCOIS)
• Category: Software
• Theme: Transportation & Logistics
• Problem Statement ID: 1658

Acknowledgments

• Indian National Center for Ocean Information Services (INCOIS)
• Ministry of Earth Sciences, Government of India
• Contributors and the open-source community

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