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AI Economic Forecaster

Accessible global economic data & AI-powered insights for everyone

Inspiration

Economic data and forecasting tools have traditionally been reserved for large institutions. We wanted to change that by building a platform that empowers students, researchers, small business owners, and policymakers to access and understand real-time economic indicators.

What it does

AI Economic Forecaster is a web platform that offers:

Real-time data visualization — interactive charts and global map views of key economic indicators.
AI-powered analysis — Ask questions and get explanations, trend-analysis, comparisons in plain English.
Global coverage — Data for 195+ countries, all in one unified interface.
Multiple authoritative sources — Integrates data from IMF (WEO), World Bank, and FRED.
Data export — Download data as CSV, JSON, or Excel for your own research.
Responsive & accessible UI — Works across devices, supports dark mode, and is built with accessibility in mind.

How we built it

Technology Stack

Frontend: React + TypeScript, Vite, Tailwind CSS, Recharts, shadcn/ui & Lucide React
Backend & AI: Node.js + Express, Google Gemini (v1beta) for natural-language economic analysis
Data Processing: Unified normalization layer, time-series support (yearly/quarterly/monthly), intelligent caching & batching

Implementation details

Built a proxy layer to safely handle API keys and CORS issues.
Normalized differing data formats across sources (e.g., percentages vs absolute values).
Created caching + batching logic to handle rate limits and keep performance fast.
Designed UI components for intuitive exploration of complex economic data.

Challenges we ran into

Integrating multiple APIs with different formats, rate limits, and availability patterns.
Handling browser CORS restrictions and setting up a robust proxy/secure server layer.
Adapting to evolving AI model APIs (Gemini v1 → v1beta) and managing fallbacks.
Ensuring data consistency across sources, units, time intervals.
Time + date normalization for monthly/quarterly/yearly data series.
Optimizing performance for sub-second loads on large datasets.

Accomplishments that we're proud of

Visualized complex economic data in an intuitive, clean, interactive UI.
Integrated Google Gemini AI for natural-language economic insights.
Unified three major global economic data sources into one platform.
Achieved high performance and fast response times via smart caching.
Delivered a fully responsive, accessible interface and type-safe architecture.

What we learned

How to build scalable API integrations and normalization layers.
Techniques for prompt-engineering and crafting effective AI queries.
Best practices in visualizing time-series economic data.
Building resilient, graceful error-handling around external dependencies.
Modern React & TypeScript architecture patterns for maintainability and performance.

What's next

Short-term

Predictive modelling (e.g., ARIMA, Prophet, LSTM) for forecasting economic indicators.
Email alerts / threshold notifications when key indicators change.
Side-by-side country comparison dashboards.
Native mobile app for Android/iOS.