https://github.com/ajitagupta/streamlit-aviation-dashboard
Aviation Risk Modelling Dashboard in Python
https://github.com/ajitagupta/streamlit-aviation-dashboard
aviation aviation-dashboard dashboard risk-modelling streamlit streamlit-dashboard streamlit-webapp
Last synced: 2 months ago
JSON representation
Aviation Risk Modelling Dashboard in Python
- Host: GitHub
- URL: https://github.com/ajitagupta/streamlit-aviation-dashboard
- Owner: ajitagupta
- License: mit
- Created: 2025-02-07T16:17:11.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-02-07T16:53:00.000Z (over 1 year ago)
- Last Synced: 2025-04-05T08:28:01.988Z (about 1 year ago)
- Topics: aviation, aviation-dashboard, dashboard, risk-modelling, streamlit, streamlit-dashboard, streamlit-webapp
- Language: Python
- Homepage: https://app-aviation-dashboard.streamlit.app/
- Size: 17.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Streamlit Aviation Risk Modeling Dashboard
## Overview
This repository contains a Streamlit-based Aviation Risk Modeling Dashboard that analyzes aviation incidents, evaluates risk scores, and simulates potential financial losses using Monte Carlo simulations. The goal is to provide an interactive tool for aviation insurance analysts, actuaries, and risk management professionals.
## Features
- ✅ Data Visualization – Analyze aviation incidents, weather conditions, and aircraft types using interactive plots.
- ✅ Risk Scoring Model – Calculate risk scores based on aviation incidents and fatalities.
- ✅ Monte Carlo Simulation – Predict potential financial losses using stochastic modeling.
- ✅ Streamlit Web App – Deploy and interact with the dashboard in real-time.
## Live Demo
You can try the live demo hosted on Streamlit Cloud: [🔗 Streamlit App](https://app-aviation-dashboard.streamlit.app/)
## Installation
To run this project locally, follow these steps:
1. Clone the Repository
```bash
git clone https://github.com/ajitagupta/streamlit-aviation-dashboard.git
cd streamlit-aviation-dashboard
```
2. Install Dependencies
Make sure you have Python installed, then install the required packages:
```bash
pip install -r requirements.txt
```
3. Run the Streamlit App
```bash
streamlit run aviation_risk_model.py
```
## Usage Guide
Explore Aviation Data – View aviation incidents, aircraft types, and weather conditions.
Analyze Risk Scores – Identify high-risk flights based on historical data.
Run Monte Carlo Simulations – Estimate financial losses with interactive simulations.
## Deployment Guide
To deploy this app on Streamlit Cloud:
Push the code to GitHub.
Go to Streamlit Cloud.
Connect your GitHub repository and deploy.
## Contributions
Contributions are welcome! If you’d like to improve this dashboard, feel free to:
Open an issue 🚀
Submit a pull request 💡
## License
This project is licensed under the MIT License.
Author: Ajita Gupta