Build 'SharkShield AI'—a real-time, AI-powered shark detection and deterrent network. The platform would: 1) Deploy underwater IoT sensors (sonar, hydrophones) to detect shark bioacoustics and movements; 2) Use edge AI to distinguish sharks from other marine life (e.g., whales, dolphins); 3) Integrate with drones and buoys to deploy non-invasive deterrents (e.g., low-frequency audio waves proven to repel sharks); 4) Provide a public dashboard for swimmers and councils to monitor real-time alerts. Monetization via council contracts ($1M/year), tourism partnerships, and carbon credit funding (via ecosystem protection incentives).
Validated on That's Missing platform | Status: Active Opportunity
Market Catalyst & News Trigger
"After three fatal shark attacks, what mitigation measures work best?"
Source: ABC News (AU)
| Published: 6/12/2026
The Workflow Friction
Coastal councils, surfers, swimmers, and marine conservation groups
Problem Summary
Real-world problem signal validation.
One-Shot MVP Builder Blueprint (48 Hours)
A pilot in Byron Bay showing: 1) Real-time shark detection alerts via SMS; 2) Drone-integrated deterrent deployment; 3) Environmental impact dashboard (e.g., '0 dolphins entangled'). Partner with local councils for sensor deployment.
Recommended Developer Tech Stack
- Python
- TensorFlow Lite
- FastAPI
- PostgreSQL
- LoRaWAN