This research paper introduces "DementAid," a user-friendly web application designed specifically for individuals with Dementia disease. The primary objective of DementAid is to provide mental engagement and support throughout the treatment process. The application offers various features to assist both patients and caretakers in navigating the challenges associated with memory loss. DementAid encompasses sections such as News, My Circle, Identify, Games, Entertainment, and Reminders. The News section keeps patients informed by delivering succinct news updates sourced from an API. In later stages of the disease, the My Circle feature enables caretakers to upload photos of family and friends, aiding patients in recognizing and remembering loved ones. To stimulate cognitive function, DementAid includes memory games like the classic memory cards game and a personalized quiz called "Guess Who," where patients match photos of family members. The Detection feature allows caretakers and sufferers to detect whether they are suffering from dementia or not. Detection can be done using a clinical dataset which includes MMSe, CTR eDIV etc or through MRI scans of the brain. The results of this study demonstrate the feasibility of utilizing clinical data and machine learning techniques for accurate dementia stage detection. The proposed approach has the potential to assist healthcare professionals in making informed decisions, improving patient care, and promoting early interventions for individuals at risk of dementia.