The problem Autonomous Exlorer solves

Autonomous Explorer is a project that aims to solve the problem of lost connection to outer space satellites by implanting artificial intelligence within the land rover. This project enables the rover to take intelligent decisions on its own, without the need for constant human intervention. By utilizing deep reinforcement learning techniques, the rover can learn and determine the best trajectory for reaching its destination, thereby improving its driving skills. This solution also tackles the problem of hard-coded specific actions that the rover should take and saves a lot of time. Overall, Autonomous Explorer offers an innovative solution to address the challenges of navigating and exploring environments in space.

Challenges we ran into

During the development of this project, our team encountered various technical challenges such as API integration errors, complex backend implementation and performance issues which caused our laptops to hang multiple times. As a team of only two members, getting external help proved to be difficult. However, we were able to overcome these challenges by conducting thorough research, seeking help from online forums and leveraging our knowledge and skills to find effective solutions. We also ensured to follow best practices and optimize the code wherever possible to improve the overall performance of the application.