Kathmandu – Bhadai Tharu still recalls the tiger attack that left him blind in his left eye on January 6, 2004. More than two decades later, the 59-year-old chairs the Gauri Community Forest on the edge of Bardiya National Park and supports a new effort to reduce such encounters. Researchers have built an artificial intelligence system that listens for alarm calls from chital deer to flag areas where tigers or leopards may be active. The pilot draws directly on long-standing local practices of reading the forest for signs of danger.
A Personal Turning Point
Tharu describes the moment the tiger struck near Bardiya National Park. He was working in the forest when the animal attacked around midday. The injury ended his ability to see from one eye, yet he refuses to hold a grudge against the species. Tharu notes that anger often follows such incidents, but he emphasizes the tiger’s place in the ecosystem. He argues that people and tigers must find ways to share the landscape. His stance reflects a broader shift in communities that live alongside the big cats.
Nepal’s Growing Tiger Population
Nepal now counts 429 tigers across the country, with Bardiya National Park alone home to 112. The rise in numbers marks a conservation success, yet it also increases the chance of human-wildlife overlap. Forest users like Tharu move through the same areas where the animals hunt and rest. Community leaders have long watched for signs that tigers are nearby. Alarm calls from deer serve as one early warning. The new project turns that traditional observation into a technological tool that can alert people in real time.
How the AI System Works
Sensors placed in the forest capture the distinctive alarm calls of chital deer. Machine-learning models then analyze the sounds to map zones of higher risk. When the system detects patterns linked to tigers or leopards, it can notify nearby communities to avoid those spots. The approach builds on Indigenous knowledge rather than replacing it. Local residents already knew which calls signaled immediate danger. The AI simply scales that insight across larger areas and faster timeframes. A recent study documented the pilot results and showed the system’s potential to support safer forest use.
Looking Ahead
Tharu’s experience illustrates the human side of coexistence. As tiger numbers climb, tools that combine technology with local insight offer one path to fewer conflicts. The project remains in its early stages, yet it points to practical ways communities can continue living alongside Nepal’s recovering big-cat population.
