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This project, "Personalized Gym Routine Optimization," created at VIT-AP University, aims to revolutionize fitness routines by addressing the limitations of generic workouts that neglect critical factors like fatigue and sleep. Through adaptive, RL-based systems, personalized fitness plans enhance safety and performance. The system's architecture involves user input processed by a reinforcement learning agent to optimize workouts. Using tools like Python and Q-learning, the model adjusts...