It is crucial now more than ever to anticipate battery life durations precisely because cell phones are becoming our constant companions. To estimate how long it takes for different mobile phone models to reach full charge, our study compares two cutting-edge machine learning techniques: extreme gradient boosting (XGBoost) and long short-term memory (LSTM). By building our own dataset and focusing on charging time predictions rather than battery longevity, we have gone above and beyond. This innovative approach not only improves energy efficiency and battery management but also enhances the overall user experience. In this study, we generated our own dataset using various mobile phones to predict charging times, rather than focusing on battery longevity as most studies do. Our research has significant implications for user experience, battery management, energy efficiency, sustainability, and technological advancements. These findings offer valuable insights for users, manufacturers, policymakers, and researchers, helping to shape the future of mobile technology and its broader impact on society and the environment. Our research offers valuable insights that will shape the future of mobile technology and its broader impact on society, energy management, healthcare, and beyond.