Personal emergency intelligence system
Dubai Alert Tracker
Built during March 2026 regional attacks from a phone-only setup to convert high-noise Reddit megathread activity into verified community-signal alerts.
Story
Built overnight during a live threat window while sheltering at home, this started as a way to reduce panic and quickly identify signal from noise. The first meaningful alert proved that a lightweight AI system could support real-world decisions under pressure.
Problem
During active threat windows, community channels become noisy fast: high emotional volume, repeated rumors, and low signal-to-noise for actionable updates.
Solution
Built a real-time system that monitors the official r/dubai attacks megathread, detects comment-velocity spikes, runs AI consensus checks across independent reports, and sends short alerts only when confidence crosses threshold.
Outcome
Delivered timely alerts for major events (interception confirmations and airline suspension signals) while reducing false alarms through multi-source consensus gating.
Architecture
A placeholder implementation path that can be expanded with screenshots, data contracts, system diagrams, and measurable results as the project matures.
01
Reddit megathread polling
02
Comment velocity spike detection
03
Gemini consensus classification
04
False-alarm threshold checks
05
Telegram + WhatsApp alert fan-out
06
GitHub state persistence + Railway runtime
Product Artifacts
Sanitized examples to demonstrate product thinking and execution style when proprietary materials cannot be shared.
- PRD outline (problem framing, success metrics, rollout plan)
- Workflow wireframe / journey snapshot
- Evaluation rubric or quality checklist
- Operational metrics dashboard mock
Metrics to Track
- Alert precision
- Median detection latency
- False-positive rate
- Community acknowledgment rate
Product Role
- Designed and built end-to-end from mobile under live constraints
- Authored prompt logic for consensus vs panic separation
- Set escalation thresholds and message format for emergency readability