Abstract
People today struggle with a wide range of illnesses as a result of their lifestyle decisions and the surrounds. Consequently, it's critical to detect the illness as soon as possible in order to preserve a strategic separation from any unfavourable defeats. Now that these issues have been taken into account, we have developed a solution and suggested CureSageAI, a web-based programme, online 2D interactive diagnosis and healthcare companion. This research paper explores the methodology, challenges, and outcomes of CureSageAI, shedding light on its significance in transforming healthcare practices. The findings contribute to the ongoing discourse on the integration of artificial intelligence in healthcare for improved diagnostics and treatment strategies. Key Words: Machine Learning, Drug-Recommendation, Interactive Diagnosis, Random Forest Classifier, Naïve Bayes Classifier, Disease Prediction.
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