🌍 Where Should I Live in Scandinavia?

A Streamlit app that helps you find the best Scandinavian city to live in based on your personal and professional priorities — whether it's salary, access to nature, tech job opportunities, or mental well-being.

🚀 Features

• 🌆 Compares cities across Sweden, Norway, Denmark, Finland, and Iceland
• 🎯 Customize your preferences with sliders (salary, cost of living, work-life balance, etc.)
• 🔍 Calculates a personalized score for each city
• 🗺️ View cities on an interactive map with pop-up info
• 🎛️ Filter results by minimum score threshold
• 📊 See results in a dynamic table sorted by best match

📸 Screenshots

🧠 How It Works

1. Standardized numeric metrics such as salary, nature score, tech job opportunities, and more.
2. Users assign weights to each factor based on their preferences.
3. A composite score is calculated for each city.
4. Results are displayed in a table and interactive map.

🛠️ Installation

Make sure you have Python 3.8+ installed.

# Clone the repo
git clone https://github.com/Nynor-code/scandi_recommender_app.git
cd scandi_recommender_app

# Install dependencies
pip install -r requirements.txt

📦 Run the App

streamlit run src/app.py

Then open your browser at http://localhost:8501.

🌐 Deployment

The app is deployed on Streamlit Cloud, and you can access it directly here:

Streamlit Cloud Deployment

📁 Project Structure

├── src/app.py     # Main application file
├── requirements.txt     # Python dependencies
├── README.md            # This file

✅ Dependencies

• streamlit
• pandas
• folium
• streamlit-folium
• scikit-learn

Install with:

pip install streamlit pandas folium streamlit-folium scikit-learn

🌱 Future Improvements

• Export recommendations (CSV, PDF)
• Add city profile cards with photos
• Support user accounts to save preferences
• Pull real-time data from APIs (cost, jobs, etc.)

📍 Inspiration

Created as part of a Nordic-themed portfolio project to support relocation decisions for tech professionals seeking better work-life balance and nature access.

Data Sources

Average Salary (EUR)

Sources:

• Numbeo (cost-of-living + salary comparisons)
• Statista and national statistics agencies (like SSB in Norway, SCB in Sweden)
• Job portals like Glassdoor, Levels.fyi, and local recruitment agencies ⚠ Note: salaries were normalized and scaled down by 10.

Cost of Living Index

Sources:

• Numbeo
• Expatistan
• OECD living cost reports

Nature Score (custom)

Subjective metric (1–10) based on Proximity to forests, lakes, mountains, national parks, and outdoor activity opportunities

Sources:

• Google Maps
• Regional tourism data
• Lifestyle rankings

Mental Health Index (custom)

Estimated from:

• OECD Better Life Index
• WHO and Eurostat mental well-being reports
• Nordic health and happiness studies
• National mental health services access and societal factors

Work-Life Balance

Based on:

• OECD Better Life Index
• Eurostat and Nordic Council reports
• Local labor laws (vacation, parental leave, work hours)

Tech Job Score (custom)

Based on: Local tech ecosystem maturity Presence of startups, tech hubs, and accelerators Remote work friendliness and demand for tech roles Sources:

• Dealroom
• Crunchbase
• EU tech job boards
• LinkedIn insights

⚠ Limitations

• Values are not official or real-time, but estimated and normalized to provide a consistent relative comparison across cities.
• The northern cities (e.g., Kiruna, Alta) are harder to get exact salary or tech scores for, so some were interpolated or scaled based on national/regional averages.

🧑‍💻 Author

Developed by Nynor-code.