  Vector-Borne Disease (VBD) is an infectious disease transmitted through the
pathogenic female Aedes mosquito to humans and animals. It is important to
control dengue disease by reducing the spread of Aedes mosquito vectors.
Community awareness plays acrucial role to ensure Aedes control programmes and
encourages the communities to involve active participation. Identifying the
species of mosquito will help to recognize the mosquito density in the locality
and intensifying mosquito control efforts in particular areas. This willhelp in
avoiding Aedes breeding sites around residential areas and reduce adult
mosquitoes. To serve this purpose, an android application are developed to
identify Aedes species that help the community to contribute in mosquito
control events. Several Android applications have been developed to identify
species like birds, plant species, and Anopheles mosquito species. In this
work, a user-friendly mobile application mAedesID is developed for identifying
the Aedes mosquito species using a deep learning Convolutional Neural Network
(CNN) algorithm which is best suited for species image classification and
achieves better accuracy for voluminous images. The mobile application can be
downloaded from the URLhttps://tinyurl.com/mAedesID.
