AI Economic Early Warning System

🚀 Inspiration

Economic crises often come too late for decision-makers to react effectively. Traditional models are slow, static, and hard to interpret. I wanted to build a system that gives an early warning signal using AI — something interactive, explainable, and actionable.

💡 What it does

This project is an AI-powered Economic Early Warning System that predicts recession probability using 12 macroeconomic indicators like inflation, unemployment, yield spread, and consumer confidence.

Users can:

• Simulate economic scenarios in real-time using sliders
• See how changes impact recession probability instantly
• Analyze key drivers behind predictions
• Explore global recession risk through a dynamic map
• Get policy recommendations and AI insights

🛠️ How I built it

• Random Forest model trained on macroeconomic indicators
• Feature importance + explainability layer
• Scenario simulator connected directly to model inputs
• Streamlit frontend for real-time interaction
• LLM integration for economic reasoning (with fallback handling)
• 6-month forecast using trend + volatility modeling

⚠️ Challenges I ran into

• API limits for AI insights → solved with fallback system
• Data inconsistency → handled using standardization and simulated calibration
• Balancing accuracy vs interpretability
• Designing a UI that is both technical and simple

🏆 Accomplishments

• Built a full end-to-end AI system (model + UI + simulation)
• Real-time scenario analysis with instant feedback
• Clear explanation of "why" behind predictions
• Production-ready interactive dashboard

📚 What I learned

• Real-world data is noisy and imperfect
• Explainability matters more than raw accuracy
• UI/UX can make or break an AI product
• Handling edge cases (like API failure) is critical

🔮 What’s next

• Add live economic data feeds
• Improve model accuracy with more features
• Deploy at scale for policymakers and analysts
• Add alert system (email/SMS for risk spikes)

Built With

• apis
• data
• llm-(mixtral)
• machine-learning
• numpy
• pandas
• plotly
• python
• random-forest
• scikit-learn
• streamlit