• Khushnuma M
• Gaurav Madhavi
• Darshan Mhatre
• Gaurav Parab
• Divya Chirayil

Abstract- To create a revolutionary platform for individualized healthcare guidance, the proposed model used in this research paper combines cutting-edge technologies like Generative Pretrained Transformer (GPT), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). The primary objective of this project is to create a personalized chatbot that, using distinct patient input data, can offer tailored prescription information, health recommendations, and medical advice. Our state-of-the-art system allows users to remotely get prescription information, self-diagnose medical issues, and receive personalized health advice before seeing a doctor. By deftly gathering essential patient information, such as health status, allergies, and basic biometrics, the system allows users to generate comprehensive health reports more easily and offers personalized solutions. Interestingly, a fitness module has been easily integrated, giving users the ability to interact with the chatbot, assess their health using easy-to-understand visuals, and carefully plan their diets. This novel approach has the potential to reduce healthcare expenses while simultaneously enhancing accessibility by allowing individuals to obtain useful health information at any time and from any location. The recommended strategy is an excellent illustration of how to deliver patient-centered healthcare, which will eventually advance and simplify the healthcare industry.

Healthcare, Artificial Intelligence, Machine Learning, Generative Pretrained Transformer (GPT), Data Science, Fitness.

"AI-Powered Virtual Healthcare Assistance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.i107-i112, March-2024, Available :http://www.jetir.org/papers/JETIR2403816.pdf

"AI-Powered Virtual Healthcare Assistance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppi107-i112, March-2024, Available at : http://www.jetir.org/papers/JETIR2403816.pdf