Our platform integrates with popular mapping services like Google Maps and Waze, offering users a colour-coded map that highlights crocodile activity levels. Users can easily submit sightings, which help update risk zones in real-time. The system sends alerts to notify people about nearby crocodile sightings and changing risk levels, ensuring up-to-date information at all times. 

The back-end utilizes machine learning models to predict crocodile behavior based on factors like water levels, temperature, and breeding seasons. A comprehensive database manages both historical and real-time data, refining the system's accuracy in assessing crocodile activity and potential risks. 

We rely on user contributions through crowdsourcing to collect crocodile sightings and other relevant data. The platform validates this data with user feedback and incorporates it into the system. Additional techs like cameras and environmental sensors enhance data accuracy, monitoring crocodile presence and behavior in real-time. 

Using data from NT Crocodile Capture Zones and Monitoring Surveys, we map high-risk areas across the Northern Territory. This predictive analysis improves safety for both residents and tourists by identifying where crocodile activity is most likely to occur, supporting better management and awareness.