The Travelling Postman project is an advanced logistics system designed for India Post, aimed at revolutionizing mail and package delivery services. By leveraging cutting-edge technologies such as Next.js, React.js, Python, PostgreSQL, and Machine Learning, this system optimizes routing and improves efficiency across multiple transportation modes.
- Dynamic Mail Transmission System: Developed using Next.js for a responsive frontend and PostgreSQL for robust database management, this system ensures seamless integration of routing operations.
- Optimized Routing: Implements the A* algorithm to predict optimal delivery routes, considering:
- Historical data
- Seasonal festivals
- Climatic conditions This approach outperforms the traditional A * algorithm, enhancing decision-making and reducing delivery time by 30%.
- Real-Time Node Safety Assessment: Integrates self-learning algorithms that analyze real-time data from:
- Weather updates
- News reports
- Social media This ensures safe and efficient mail transmission.
- Multi-Mode Transportation Support: Facilitates dynamic route planning across different modes of transportation, enabling better resource utilization.
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Fork the repository on GitHub.
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Clone the repository to your local machine:
git clone <repository-url>
Replace
<repository-url>
with the URL of your forked repository. -
Navigate to the project directory:
cd travelling-postman
-
Create a
.env
file in the root directory of the project:touch .env
-
Add the following environment variables to the
.env
file:DB_NAME= JWT_SECRET= DATABASE_URL= NEXT_PUBLIC_MAPBOX_TOKEN= EMAIL_USER= EMAIL_PASS=
- Install the required packages:
npm install
-
Start the development server:
npm run dev
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Open your browser and visit:
http://localhost:3000
- Backend: Powered by Python and PostgreSQL, ensuring reliable and scalable data handling.
- Frontend: Built with Next.js and React.js, providing a dynamic user experience.
- Algorithm: A* algorithm for optimal routing, significantly reducing computation time compared to Dijkstra’s approach.
- API Integration: Utilizes Mapbox API for geolocation and mapping functionalities.
- Machine Learning: Real-time safety assessments using weather, news, and social media data.
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After making changes to the code, stage them:
git add .
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Commit the changes:
git commit -m "Your commit message here"
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Push the changes to your GitHub repository:
git push origin main
This project showcases how technology can streamline traditional services like postal delivery. By incorporating advanced algorithms, real-time data analysis, and multi-modal transportation, it significantly enhances delivery efficiency, safety, and user satisfaction.