Peer mentor

• 

  Terminal

• 

  Error

• 

  Writing

​## Inspiration: In an increasingly fragmented world, decision-makers are overwhelmed by uncoordinated data. We built GlobalPulse to provide a unified, real-time "heartbeat" of global socioeconomic trends. ​## What it does: It aggregates diverse data streams into a single, cohesive dashboard, allowing users to visualize trends and evaluate policy impacts in real-time. ​## How we built it: We utilized a high-integrity, dependency-free architecture in Python, using an atomic, local JSON-based ledger for immutable and audit-ready data. ​## Challenges we ran into: Normalizing unstructured, disparate data sources was difficult. We overcame this with a robust, rules-based ingestion engine that standardizes everything into a "Pulse" schema. ​## Accomplishments that we're proud of: Transforming massive, unstructured datasets into a clean, professional-grade monitoring tool that empowers data-driven humanitarian decisions. ​## What we learned: That clean, resilient data architecture is more powerful for real-world impact than over-engineered tool stacks.

Built With

• json
• python