This study explores user sentiments towards AI-powered fitness applications by analyzing user reviews from platforms like Google Play Store. With the increasing adoption of digital health solutions, understanding user satisfaction, trust, and key concerns is crucial. Using Natural Language Processing (NLP) techniques, sentiment analysis was conducted to classify user feedback into positive and negative sentiments. Machine learning algorithms like Logistic Regression and Support Vector Machine (SVM) were utilized for classification. Findings are prominent drivers of satisfaction, where usability, effectiveness, and personalization are essential drivers, while cost, technology glitches, and unrealized expectations drive dissatisfaction. These findings give interesting insights for fitness-tech business companies and app developers to drive engagement and better experience for their users.