TapShot is a mobile application with the ability to allow users to identify a specific location based on anywhere they click or drop a point within an existing photo previously taken through the app or from the live camera view using their mobile phone. The user is able to click just about any object in the photo/viewfinder to show what is around the area, and also to find out the exact address of the spot they clicked on. The mobile application will allow users to have two options: live camera viewfinder mode or photo mode to pinpoint at any location within the camera view or photo view to show the details of a specific location and area. The pinpoints will drop down showing general information of phone number, address, a map and what is around the area (along with photos).
TapShot will be first launched in the year 2030. The development of TapShot started with implementing the technology of machine learning for mobile applications. Two BFA majors at Cal State University of Fullerton, Danielle Lam and Yunna Choi, created the mobile application in the Spring of 2016. Both students had a vision and believed in making innovative products for the future. The idea of creating TapShot was generated by focusing and creating a solution to improve the pre-installed camera mobile application in order to have the power to analyze data to the next level. The beta app was initially released only for iOS mobile devices, but later expanded to Android devices also. Through TapShot, our company hopes to inspire the world, make a difference, and be recognized globally.