Teen Innovator Develops Low-Cost AI System to Combat Wildlife Poaching

Anika Puri, a Delhi-based teenager, has developed an innovative AI-powered detection system designed to identify poaching activities in real-time, addressing one of India's most pressing wildlife conservation challenges. The technology achieves a 90 percent accuracy rate while remaining remarkably affordable at just $300, making it accessible to conservation organisations and wildlife authorities operating with limited budgets.

The system leverages machine learning algorithms to analyze visual data and identify suspicious activities indicative of poaching operations. By automating threat detection, the tool enables rangers and conservation teams to respond more swiftly to illegal wildlife trafficking, potentially saving endangered species from extinction.

India's wildlife faces unprecedented pressure from organised poaching networks targeting species including tigers, elephants, and rhinoceroses. Conservation authorities have long struggled with resource constraints, making innovative, cost-effective solutions critical to protecting the country's biodiversity. Puri's creation demonstrates how young technologists can contribute meaningful solutions to environmental challenges.

The development of such affordable AI tools represents a significant stride in harnessing technology for conservation. If successfully deployed across protected areas and wildlife sanctuaries, the system could strengthen India's capacity to combat poaching and reinforce enforcement mechanisms, potentially serving as a model for other nations facing similar wildlife protection challenges.