What's My Tick 2.0.0

This application utilizes image recognition technology, specifically a convolutional neural network, to assist in the identification of ticks. By analyzing the image of the tick and utilizing your location data, the app can rank ticks known to carry diseases in your specific area. Users are provided with a list of potential ticks ranked by the image recognition system. In cases where the system fails to identify a tick in the image, it will still present a list based on location data. For further assistance in tick identification, users can refer to the 'Learn' section within the application to understand key features to look for.

While there exist hundreds of tick species, only a limited number are recognized carriers of diseases. This application focuses solely on identifying ticks associated with known diseases. It is important to note that the image recognition system was not trained on engorged ticks due to their visual similarity, thus rendering accurate ranking challenging. Nevertheless, users can utilize location data to aid in identifying engorged ticks. In instances where an engorged tick is found, it is advisable to seek medical attention as a precautionary measure.

It is crucial to highlight that this application was not developed by a medical professional, and therefore all information presented should not be construed as medical advice. The majority of the content within the app was sourced from the CDC. The 'risk of contraction' data provided is based on estimates and information derived from the CDC. The primary goal of this app is to educate users on ticks and the diseases they may transmit, rather than predict individual susceptibility to tick-borne illnesses.