https://github.com/jerryblessed/skyrouteai
https://github.com/jerryblessed/skyrouteai
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/jerryblessed/skyrouteai
- Owner: Jerryblessed
- Created: 2025-03-08T22:31:13.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-10T17:06:50.000Z (over 1 year ago)
- Last Synced: 2025-03-10T17:33:41.235Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SkyRoute AI - Flight Optimization System
[](https://colab.research.google.com/github/Jerryblessed/fraudShieldgraphai/blob/main/fdetect.ipynb)
## 🚀 Inspiration
Air travel optimization is crucial for efficiency, sustainability, and cost-effectiveness. We wanted to build a system that simplifies route planning, enhances decision-making, and integrates AI for smarter travel insights. Inspired by real-world airline challenges, SkyRoute AI leverages graph-based analytics to optimize flight paths dynamically.
## ✈️ What it does
SkyRoute AI processes flight and airport data using graph-based network analysis, allowing users to:
- Visualize flight routes and airport connections in ArangoDB.
- Find the shortest and most efficient routes between airports.
- Compute PageRank to determine the most influential airports.
- Use AI-powered NLP to AQL translation for querying flight data effortlessly.
- Integrate real-time graph visualization to display network structures.
## 🏗️ Architectural Diagram
```
+--------------------+ +---------------------+
| User Interface | ---> | Flask API Server |
+--------------------+ +---------------------+
| |
v v
+---------------------+ +--------------------+
| Azure OpenAI | | ArangoDB |
| (NLP to AQL Query) | | (Graph Storage) |
+---------------------+ +--------------------+
| |
v v
+--------------------+ +--------------------+
| NetworkX | | cuGraph |
| (Graph Analysis) | | (GPU Acceleration)|
+--------------------+ +--------------------+
```
## 💻 How we built it
- **NetworkX & cuGraph** for graph-based computation and shortest path analysis.
- **ArangoDB** for storing and visualizing flight network data.
- **Azure OpenAI (GPT-4o)** for NLP-based AQL query generation.
- **Flask API & Web Interface** for user interaction and query execution.
- **Matplotlib & DataFrames** for plotting and analyzing flight route data.
- **LangChain** for AI-driven query interpretations.
## 📥 Dataset
The dataset is sourced from [ArangoDB Example Datasets](https://github.com/arangodb/example-datasets/tree/master/Data%20Loader).
## ⚠️ Security Notice
We have intentionally left API keys and database credentials in the code for demonstration purposes. However, in a production environment, sensitive information should be securely stored using environment variables or secret management tools.
## 🚫 Challenges we ran into
- Optimizing large-scale graph processing efficiently with GPU acceleration.
- Converting natural language queries to accurate AQL statements.
- Ensuring real-time data visualization while handling complex computations.
- Managing ArangoDB integration with NetworkX and cuGraph.
## 🎉 Accomplishments that we're proud of
- Successfully integrated AI-powered NLP with AQL for intuitive user queries.
- Achieved high-speed graph processing using GPU acceleration with cuGraph.
- Built an interactive flight network visualization inside ArangoDB.
- Developed a fully functional Flask-based API for flight route optimization.
## 📝 What we learned
- The power of graph databases for real-world travel optimization.
- The efficiency gains from using cuGraph for GPU-accelerated graph operations.
- How NLP-driven AI can simplify complex query languages like AQL.
- The importance of data visualization in interpreting large datasets.
## 🌟 What's next for SkyRoute AI
- Real-time flight tracking integration for live travel updates.
- Machine learning-based demand forecasting for optimized flight schedules.
- Multi-modal transport integration (e.g., trains, buses) for seamless travel planning.
- User-friendly web dashboard for airline companies and travelers.
- Cloud-based API services for external applications and travel platforms.
## 🛠️ Built With
- **Python**
- **NetworkX & cuGraph**
- **ArangoDB**
- **Azure OpenAI & LangChain**
- **Flask & Matplotlib**