<p>One of the biggest public health issues affecting women worldwide is breast cancer. Traditional diagnostic methods are typically intricate, time consuming, and resource-wasting, yet early diagnosis improves prognosis and survival rates. Then, new approaches to enhance early detection and diagnosis with predictive models that could address these issues have emerged as a result of the quick advancements in generative artificial intelligence. In this article, a novel artificially intelligent breast cancer prediction system is developed by examining the usage of generative AI (Gen AI) models, such as OpenAI’s GPT zoomed in to the low code platform Mendix. This research aims to employ generative AI in a non invasive way to help users figure out their risk of developing breast cancer by entering their symptoms into the application. By supporting early diagnosis, this prediction technology aims to reduce the time between initial self diagnosis and official medical diagnosis. Integrating the Gen AI model for BreakHis dataset, Open AI with Mendix streamlines the deployment of advanced predictive models. This integration would harmonize clinical decision making that is easier to build, use, and scale, ultimately improving patient care outcomes.</p>