Irregularities were seen in hospital prices during Covid-19 which caused a major problem for patients Many families lost members despite spending enormous quantities of money, and in some cases, hospitals required payment of unpaid bills before returning bodies. There is a need for an information portal that can regulate all private hospitals, provide accurate information about costs and medical facilities offered in private hospitals and direct citizens towards affordable medical emergency services in accordance with their preferences and availability. Using Machine Learning we are integrating two more functionalities: a) Medical Prescription Reader: Often the prescriptions given by doctors are only readable to particular pharmacists. It can be misinterpreted due to the messy handwriting. We take an image as an input and preprocess it, then process it and classify an extracting feature by CNN and OCR in post-processing is applied. b) Disease Prediction: Many times, we visit a hospital for one reason, and it turns out to be something else and must visit another doctor or a specialist for treatment of a specific disease. We are providing a disease prediction tool which will predict the possibility of a certain disease so that users can visit a doctor specialized in that domain. This is possible with the help of machine algorithms such as Random Forest Naïve Bayes and SVM for predicting disease.