According to The Rundown AI on X, 17-year-old Naveen Dhar built a gunshot-detection AI that nearly eliminates false alarms in noisy jungles, addressing a long-standing failure where prior systems produced up to 90% false positives and lost ranger trust. As reported by The Rundown AI, Google’s effort in Cameroon flagged over 1,700 gunshot-like sounds with only three real events, underscoring the precision gap in previous approaches. According to The Rundown AI, Dhar’s model, trained on Belize audio, generalized to Africa and Vietnam without retraining, indicating robust domain transfer and reduced data-collection overhead for conservation deployments. As reported by The Rundown AI, he presented the system at a major AI conference before graduating high school, highlighting practical readiness and potential for rapid field adoption. Business impact: according to The Rundown AI, near-zero false alarms can lower ranger response costs, improve patrol efficiency, and enable scalable, cross-region acoustic monitoring partnerships with NGOs and governments.