This research addresses a smart method for improving the efficiency of 100-watt solar panels by tracking maximum power point (MPPT) using artificial neural networks (ANNs). The method relies on modifying the PWM signal controlling the DC-DC converter to achieve maximum power under changes in solar radiation and temperature. The results indicated that the neural network model was successful, with an accuracy rate of 85%, a recall rate of 82%, and an f1-score of 81%, indicating the success of the model. The results also indicated that the simulation results demonstrated high efficiency in tracking maximum power point (MPPT), reaching an efficiency of more than 97% in all cases................ Keywords:............. Solar energy, solar panels, neural networks, maximum power point (MPPT), PWM signal, and efficiency improvement.