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Be calm and teach
 

Neural Sprint is a final year project developed by Nikita Nikolaev for the Informational system course in OMGU

It is a 2-D side scrolling platform game built within the Unity 5 game engine which also contains a Neural Network using the NEAT (Neuroevolution of augmenting topologies) genetic algorithm.

The purpose of this project is to demonstrate the use and application of a Neural Network (specifically NEAT) within one of the most common forms of media:
Video Games.

Through the Neural Play Mode the Neural Network will start out with a bare minimum topology and through fitness evaluation and mutation over generations attempt to complete any level that the user presents to it.

The game may also be played like any other Video Game through Free Play Mode if the user so wishes.

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