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title: Flight Route Planner | |
emoji: π | |
colorFrom: gray | |
colorTo: pink | |
sdk: gradio | |
sdk_version: 4.44.0 | |
app_file: app.py | |
pinned: false | |
license: mit | |
# Flight Route Optimization | |
## Check out the demo here - [HuggingFace Space](https://huggingface.co/spaces/souvik0306/Flight_Route_Planner) | |
## Overview | |
This project focuses on optimizing flight routes to minimize travel time and costs using advanced algorithms and data analysis techniques. | |
> **Note:** The actual flight time and performance may vary since the dataset used is very rudimentary. In the real world, the same aircraft can have different internal configurations, leading to variations in flight time and fuel consumption. | |
## Features | |
- Route calculation based on Weather, Temperature | |
- Total CO2 Emitted | |
- Route Feasibility based on Aircraft | |
## TO DO | |
* [ ] Integrate an API to calculate distances using dedicated airways instead of the Great Circle Distance. | |
* [ ] Develop additional optimization methods based on various parameters. | |
* [ ] Identify layover points for aircraft unable to complete a route in one go, considering computational efficiency. | |
## Installation | |
1. Clone the repository: | |
```bash | |
git clone https://github.com/yourusername/Flight_Route_Optimization.git | |
``` | |
2. Navigate to the project directory: | |
```bash | |
cd Flight_Route_Optimization | |
``` | |
3. Install the required dependencies: | |
```bash | |
pip install -r requirements.txt | |
``` | |
## Usage | |
1. Run the main script: | |
```bash | |
python app.py | |
``` | |
2. Check out the [live demo](https://huggingface.co/spaces/souvik0306/Flight_Route_Planner) to see the project in action. | |
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