Hong Kong Bird Sighting Dashboard

This project is a data-driven dashboard for visualizing bird sightings in Hong Kong, built with Streamlit and Python.

Features

• Fetches real-time bird observation data from the eBird API
• Displays recent sightings, notable sightings, and hotspot locations
• Interactive search and filtering for bird species
• Visualizes hotspots on a map using PyDeck
• CSV fallback for offline testing

Technologies Used

• Python (Pandas, Requests)
• Streamlit (for web dashboard)
• PyDeck (for map visualization)
• dotenv (for environment variable management)

How It Works

• The dashboard loads bird sighting data from the eBird API and then cleans the data
• The data is then loaded into streamlit and is used for the charts which include maps, bar chart and search features
• Users can search for specific birds, view metrics, and explore hotspots
• API keys are managed securely via Streamlit secrets or .env files

Setup

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Add your eBird API key to .streamlit/secrets.toml or .env
4. Run the app: streamlit run app.py