Just a small project that I made for fun where the AI you play against predicts where the ball will be far ahead of time. Use W/S or up/down to move your paddle, and hold space as the ball bounces to see the AI's predictions! Inspired by will you snail and this snap project: https://snap.berkeley.edu/project?user=joaquinllach&project=Desafio%201%20(Pong%20Final)data:image/png;base64,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 a small project that I made for fun where the AI you play against predicts where the ball will be far ahead of time. Use W/S or up/down to move your paddle, and hold space as the ball bounces to see the AI's predictions! Inspired by will you snail and this snap project: https://snap.berkeley.edu/project?user=joaquinllach&project=Desafio%201%20(Pong%20Final)data:image/png;base64,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