Hyderabad-based FoSS presents snake encounter prediction model
The Hyderabad-based Friends of Snakes Society has introduced a machine learning model that predicts the likelihood of snake encounters based on weather patterns. The tool aims to help residents take precautions and assist rescue teams in managing high-demand periods.
Why it matters
This application of AI and data science to wildlife management demonstrates how predictive modeling can improve public safety and human-animal coexistence.
Friends of Snakes Society (FOS), based in Hyderabad of Telangana , presented a weather-based machine learning model at the First World Congress on Snakes held in Kandy, Sri Lanka, October 1 to 4. The model helps estimate the likelihood of snake encounter during a given hour, which could help people in taking additional precautions during periods of higher encounter activity, while allowing rescue teams to prepare for increased demand, as per a press note.
Researchers developed the model using 35,234 rescue dispatches recorded in Telangana in the years 2024 and 2025. The records were matched with hourly weather conditions and information about sunlight, then used machine learning to identify patterns associated with snake encounters.
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