Nepal’s AI system listened for tigers to prevent attacks
Summary and headline written by AI from the source article. How we work
In Nepal, researchers partnered with local communities to test an AI system that predicted tiger locations by analyzing alarm calls from prey animals in community forests.
For years, people living near Bardiya National Park have used their knowledge of animal behaviour, like observing deer and monkeys, to understand when tigers might be nearby. The research team built on this tradition by deploying acoustic monitoring devices that recorded these alarm calls.
The devices, costing around $60 each, used a lightweight AI model to recognize chital deer alarm calls and generate maps showing areas people should avoid. Residents and forest guards who participated in the pilot project confirmed the system accurately matched observations made on the ground and could have helped prevent dangerous encounters.
They expressed enthusiasm for the technology’s potential to save lives and reduce conflict between people and tigers, a growing concern as Nepal’s tiger population reaches a record 429 individuals. Despite positive feedback and promising results, the program ended after its initial trial phase due to a lack of funding and sustained institutional support. While officials stated that new conservation technologies require long-term evaluation, the equipment was moved to India where testing continued.
Researchers believe AI can amplify existing local knowledge, helping communities proactively manage risk instead of reacting to attacks.
