Medical Chatbot (Medibot)
In recent years, medical services are getting more open to a more extensive gathering of individuals with the help of innovation. The ideas of computerized reasoning, machine learning and neural organizations have given generous help with the field of medical services. In the present quick moving world, individuals will in general disregard their wellbeing which may result in a basic issue. Such an issue can be kept away from by utilizing the symptom-driven chatbot. Our project focuses on giving the clients accurate and precise prediction of the disease based on their symptom,The disease envisaging chatbot is created utilizing a Decision tree. For the forecast of sicknesses, we have utilized two arrangement calculations specifically, Decision tree and KNN (K-Nearest Neighbours). The presentation of these strategies are analyzed and dependent on their accuracy, the best model is chosen. According to our project, the accuracy of the Decision Tree and KNN are 95% and 92.5% respectively. Our medical chatbot also provides precautions and measures for the envisaged disease. Our medical chatbot also has a text-to-speech feature.,for providing a human element to the conversation, rather than it being an automated conversation, which may feel mundane to the user.