• Confidence Interval Estimations for Broad Applicability: A distinctive feature of our tool is its ability to provide confidence intervals for the predicted battery aging outcomes. These probabilistic predictions are not merely point estimates but include a range that reflects the uncertainty inherent in battery degradation processes. Such information is invaluable for decision-making in various fields, from electric vehicle fleet management and renewable energy storage systems to consumer electronics. By quantifying uncertainty, our tool aids stakeholders in assessing risks, planning maintenance schedules, and optimizing battery usage strategies more effectively.