An AI-driven fitness application, known as ShapeDate, is designed to forecast the exact date users will achieve their body transformation goals. The app differentiates between fat mass and lean muscle by employing body composition analysis and utilizes metabolic calculations, such as the Mifflin-St Jeor BMR and activity-adjusted TDEE, to predict weight and body fat percentage changes at each significant milestone. This offers users monthly progress forecasts updated in real-time with each weigh-in. The application simplifies complex metabolic science into easily understood language, making it accessible for individuals seeking fitness guidance. The technology stack for this app includes a wide range of modern development frameworks and tools, such as React Native, TypeScript, Supabase, and OpenAI SDK, signaling a sophisticated infrastructure supporting the app’s functionalities. It incorporates secure authentication methods and payment systems to ensure user interaction and financial transactions are smooth and secure. Included with the app are various digital assets like the domain, full code repository, admin access to service accounts, and social media profiles. There is also a collection of video content and branding resources available for promotional purposes. Currently, the app has generated $30 from one sale. Although there has been no marketing investment yet, the developer attributes this to a shift in focus to other projects. The app is perceived to have significant potential within the fitness market if targeted to an appropriate audience, thanks to its well-designed user interface and branding. The developer is seeking a buyer to capitalize on its potential.