Flashpoint

Overview

Flashpoint is a geospatial monitoring system built for persistent, low-overhead operation. It ingests publicly available event data, clusters activity into spatial hotspots, and tracks trend emergence over time. Everything is surfaced through a map-first interface designed for continuous reference rather than periodic check-ins.

Hardware

The system runs on a Raspberry Pi 5 with a touchscreen display, configured as an always-on workstation. The hardware choice is deliberate: low power consumption, simple deployment, and a form factor that fits in a fixed location without disruption. The interface is optimized for the touchscreen and for passive ambient monitoring.

Signal Layer

Flashpoint ingests publicly available event data from multiple sources and applies spatial clustering to identify hotspots as they form. The focus is on timing and density patterns rather than individual events. Trend detection identifies when activity in a region deviates meaningfully from its baseline, flagging emergence before it becomes obvious.

AI Use

AI is used narrowly: for normalizing inconsistent event data across sources, and for generating brief summarizations of cluster activity. The core analysis pipeline is deterministic. AI is not used for pattern detection or trend identification, where explainability matters more than flexibility.

Interface

The map is the primary surface. Data is presented spatially rather than as a list or table. The design prioritizes quick spatial orientation and passive monitoring over deep interaction. Hotspots are visible at a glance; trend alerts surface without requiring active navigation.