Abstract: The concept of a "personal virtual doctor" refers to an innovative approach in healthcare that utilizes virtual or digital technologies to provide personalized and accessible medical guidance and support. This virtual doctor operates in a digital realm, machine learning, and advanced algorithms to interact with users in a manner like a human healthcare provider. Analyzes data to provide insights into the user's health status and potential areas for improvement. In the realm of technological innovation, the convergence of machine learning and healthcare has led to the development of a groundbreaking solution – the Personal Virtual Doctor. This project harnesses the capabilities of machine learning in Python to create an advanced system capable of predicting diseases based on user-input symptoms. Augmented by a sophisticated healthcare chatbot, the application offers an interactive platform for users to describe their symptoms and receive real time information about potential health issues. With a user-friendly interface and a commitment to privacy and security, this project signifies a transformative leap towards a more informed and proactive approach to personal health. The Personal Virtual Doctor is poised to revolutionize healthcare, empowering individuals to take charge of their well-being through the amalgamation of technology and medical expertise. Challenges faced by many people are looking online for health information regarding diseases, diagnoses, and different treatments. If a recommendation system can be made for doctors and medicine while using review mining will save a lot of time. The idea behind recommender system is to adapt to cope with the special requirements of the health domain related with users. The development and implementation of a personal virtual doctor aim to enhance healthcare accessibility, provide timely information, and empower individuals to take a more proactive role in managing their health and well-being.

Keywords: Personal Virtual Doctor, Disease prediction System, Multiple disease prediction

| DOI: 10.17148/IARJSET.2024.11513