Smart HealthCare Assistant for Multi Modal Analysis for Rural India

The need for healthcare systems that people can use and that give results has gone up a lot in the last few years. This is especially true in areas where it is hard to find doctors and medical equipment. This paper is about something called a Smart Healthcare Assistant with Multimodal Analysis. It is a system that uses intelligence to look at medical pictures and to predict what disease someone might have based on their symptoms. The system uses something called Convolutional Neural Networks to look at pictures of skin and chest X-rays. It also uses something called Natural Language Processing to understand what people are saying when they talk about their symptoms. The system has a chatbot that people can talk to. It helps figure out what is wrong with them. The system puts together the results from the pictures and the symptoms to make a decision about what disease someone might have. It tells people how likely it is that they have a disease, and it gives them suggestions on how to prevent diseases. The system is on the web and people can use it in two languages, English and Telugu. This means that people in areas can use it even if they do not speak English. The goal of this system is to make healthcare more accessible to people and to help doctors diagnose diseases accurately. It is a tool that can help people find out if they have a disease which makes it easier to treat. The Smart Healthcare Assistant, with Multimodal Analysis, is a solution because it is easy to use and it works well.