Abstract:
Dengue is a vector-borne disease and it is a life-threatening malady. It occurs in the tropical and
subtropical areas. Pakistan likewise falls in this locale, and the country is exceptionally
defenseless against this ailment. In previous years, the country has confronted critical episodes
of dengue. GIS and geospatial technologies assume an extremely fundamental job in the
prevention and mitigation of this ailment. We are working on the design of the device that
incorporates the most recent geospatial advancements. Our work contains four components
initially is the design of the device it is an ovitrap it has Ovicups that are filled with water for the
mosquito to lay eggs, the second segment is the utilization of a convolutional neural system
(CNN) to prepare our dataset for image classification and object identification utilizing Tensor
Flow Keras, OpenCV, and python. The third part is a spatial database that stores the dengue data,
and the last and fourth segment is a map for data visualization. This will help epidemiologists,
and health care experts and decision-makers to make timely decisions in mitigating the spread
of dengue. This system is easy to adopt for a third world country like Pakistan which has scarce
resources to combat this disease.
IV
