🐦 Bird Migration Tracker
Bird Migration Tracker is an interactive data analysis project that visualizes and explores bird migration patterns across regions and seasons. This project uses powerful Python libraries for data processing and geospatial visualization, making migration data easy to understand and visually appealing.
📌 Table of Contents
✨ Features 🖼️ Screenshots & Demo ⚙️ Tech Stack 📂 Project Structure 🚀 Installation & Usage 🔮 Future Improvements 🤝 Contributing 📜 License 📧 Contact
✨ Features ✅ Geospatial Visualization – Plot migration routes on interactive maps ✅ Data Analysis – Clean and process real-world migration datasets ✅ Seasonal Trends – Identify and visualize patterns across seasons ✅ Customizable – Easy to extend with new data or visual styles ✅ Modular Codebase – Clean Python modules for each functionality
🖼️ Screenshots & Demo Here are some previews of the project in action.
🌍 Migration Map : Visualizing bird migration routes
📈 Data Analysis Graph : Seasonal Migration data analysis
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⚙️ Tech Stack Language: Python 🐍
Libraries Used:
pandas – for data cleaning & manipulation matplotlib / seaborn – for plotting & visualization cartopy – for geospatial mapping jupyter notebook – for experimentation and exploration
📂 Project Structure BirdMigrationTracker/ │ ├── data/ # Datasets used for analysis ├── notebooks/ # Jupyter notebooks for exploration ├── src/ # Core Python scripts │ ├── data_loader.py │ ├── migration_analysis.py │ ├── visualization.py ├── outputs/ # Generated visualizations and reports │ ├── requirements.txt # Python dependencies ├── README.md # Project documentation └── LICENSE # License file
🚀 Installation & Usage 📥 Clone the repository git clone https://github.com/GunjanKaur20/BirdMigrationTracker.git cd BirdMigrationTracker
📂 View Outputs Generated maps and graphs will appear in the outputs/ folder.
🔮 Future Improvements ✅ Integrate real-time migration APIs ✅ Build a web dashboard using Plotly Dash or Streamlit ✅ Enhance map styling and add animation over time ✅ Add data upload interface for custom datasets
🤝 Contributing Contributions, issues, and feature requests are welcome! Feel free to fork the repo and submit a pull request.
Steps to contribute:
Fork the repository
Create a feature branch:
bash Copy Edit git checkout -b feature-name Commit your changes:
bash Copy Edit git commit -m "Added a new feature" Push to your branch and create a pull request
📜 License This project is licensed under the MIT License – see the LICENSE file for details.
📧 Contact 👩💻 Author: Gunjan Kaur 📩 Email: kaurgunjan16@gmail.com 🔗 GitHub: GunjanKaur20
⭐ If you like this project, please give it a star on GitHub! ⭐