After a great weekend of learning, here is our progress:

We developed a manual control system for unmanned aerial vehicles (UAV's) for extraordinary situations like technical glitches. Moreover, we also designed an innovative code injecting system with which a user can send pieces of code from your app to the UAV without needing it to restart or recompile. This feature helps in better functionality of the UAV throughout the mission.

Loss of control of UAV leads to the end of your mission, huge monetary losses and most importantly increases space debris. We also have additional features that account for time delay and obstacle detection. Our formulas predict the UAV's position accounting for the time lag and depicts the future position on the app so that you are always on par with your vehicle. We will be using the UAV's proximity sensors to give real-time input to our app. Consequently, our app will visualize the shape and size of the obstacle on the screen. Our business model is simple and straightforward where our niche target market includes organizations like NASA, Blackswift, and Aerobotics.

Our slides can be viewed at:

https://docs.google.com/presentation/d/1Luyp92FIXVhhQb66Fpqtm7bC3Gfp16Nx4bSJE-bRUyU/edit?usp=sharing

Link to code of manual control and obstacle detection: https://github.com/RohanGautam/SpaceApps-Drone-Con...

Link to code of injecting code system: https://github.com/RohanGautam/SpaceApps-Drone-Inj...