Medi-Sense: Human Medical Recommendation System Using Machine Learning

Medi-Sense, the AI-powered medical recommendation system, has established a goal to close this gap by granting users the opportunity to self-assess their symptoms and get the most reliable health-related information. The biggest problem nowadays relies on the fact that a lot of people cannot get timely and accurate healthcare and this happens particularly in remote and un-served areas where the healthcare infrastructure is limited. A lot of people do not recognize the signs of a disease when they cannot see a doctor and, as a result, diagnosis usually comes late, and the disease progresses. Medi-Sense operates with sophisticated machine learning algorithms that analyze the input of the users in the form of text, voice, image, or other formats, so it is available to as many people as possible and disease prediction and symptom analysis are some of the features that this system offers. The System uses NLP (natural language processing) and image recognition to diagnose symptoms, with higher accuracy. For this reason, it doesn't only guarantee a more precise identification of the illness or the condition but it also limits the danger of self-diagnosis. Medi-Sense is not only for symptom analysis and prediction of diseases, but one can also be served advice based on the user-entered data. The machine lists advices such as the prescription of drugs, exercises, the suggestions including those related to proper food, and so on among them.