/Medical-Drone-Delivery

Delivery of Medical equipment with the help of drones in Hilly terrain using Unsupervised Machine Learning and Google map APIs

Primary LanguagePythonMIT LicenseMIT

Delivery of Essential Medicines by Drones in Hilly areas.

Delivery of Medical equipments with the help of drones in Hilly terrain using Unsupervised Machine Learning and Google map APIs

Demo

Getting Started

This is a web interface for medical equipment delivery system in the hilly terrain.

  • When you click the Get Started button, you will get redirected to the interface where you can enter the Start point and the end point for the delivery drone.

Getting stared

  • This map interface shows you the distance between the two locations and the time required for the drone to travel the distance.

Map1

  • The drone-simulation-path contains the model that explains how the delivery drones will takle the real life obstacles using the unsupervised training method used to train the drones.

Drone

  • The insight is taken from the unsupervised model of the flappy bird game which learns how to avoid the obstacles over the iterations.

result

  • Finally, the drone path simulation model can then be integrated with the map API and then we can use the integrated model for the real-life problems.

Note:- There is a lot of future scope to further develop the project.