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README.md
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# Project: Delivery Route Optimization
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This project is a **Delivery Route Optimization** tool built using Streamlit. It aims to optimize delivery routes for a fleet of vehicles while considering constraints such as delivery time windows, vehicle capacity, and traffic conditions.
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### Key Features
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1. **Route Optimization**:
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- Solve the **Vehicle Routing Problem (VRP)** to determine the most efficient routes for a fleet of vehicles.
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- Incorporate constraints like:
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- Delivery time windows.
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- Vehicle capacity.
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- Traffic conditions.
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2. **Map Visualization**:
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- Display optimized routes on an interactive map using **Folium**.
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- Highlight delivery stops, start and end points, and route distances.
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3. **Calendar View**:
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- Provide a calendar-based schedule for deliveries.
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- Allow users to view and manage delivery schedules for specific days or weeks.
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4. **Real-Time Updates**:
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- Enable real-time updates for route changes due to unexpected events (e.g., traffic congestion, vehicle breakdowns).
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- Re-optimize routes dynamically and update the map and calendar views.
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### Tools and Technologies
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- **Python**: Core programming language for optimization and application logic.
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- **Google OR-Tools**: Solve the Vehicle Routing Problem (VRP) with constraints.
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- **Streamlit**: Build an interactive web application for route visualization and schedule management.
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- **Folium**: Create interactive maps for route visualization.
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- **Synthetic Data**: Integrate real-time traffic data for dynamic route adjustments.
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---
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β β βββ __init__.py
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β βββ utils # Directory for utility functions
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β β βββ __init__.py
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βββ requirements.txt # List of dependencies for the application
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βββ .streamlit # Configuration settings for Streamlit
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β βββ config.toml
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βββ img # Folder for storing images
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β βββ delivery_route_network.png
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βββ .gitignore # Files and directories to ignore in Git
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βββ README.md # Documentation for the project
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βββ LICENSE # Licensing information
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```
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---
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To get started with this Streamlit application template, follow these steps:
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1. Clone the repository:
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```
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git clone https://github.com/yourusername/streamlit-app-template.git
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cd streamlit-app-template
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```
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2. Create a virtual environment (optional but recommended):
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```
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python -m venv venv
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source venv/bin/activate # On macOS/Linux
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venv\Scripts\activate # On Windows
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```
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3. Install the required dependencies:
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```
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pip install -r requirements.txt
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```
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4. Run the Streamlit application:
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```
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streamlit run src/app.py
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```
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---
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---
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title: Delivery Route Optimisation
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emoji: π
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colorFrom: red
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colorTo: red
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sdk: docker
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app_port: 8501
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tags:
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- streamlit
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pinned: false
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short_description: Delivery Route Optimisation for parcel delivery
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---
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# Welcome to Streamlit!
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Edit `/src/app.py` to customize this app to your heart's desire. :heart:
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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app.py β streamlit_app.py
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File without changes
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