Medico Bot: AI based Telemedicine System with Disease Diagnosis and Expert Recommendation System with Blockchain Implementation

Abstract

This study describes the creation and deployment of a state-of-the-art Artificial Intelligence system intended for online healthcare delivery. The system can be accessed via a website using desktop browsers or specialized kiosks. Based on user input, the system provides users with succinct descriptions and cures for diseases by integrating a prediction model, which is optimized using a reinforcement learning optimizer. Moreover, it enables user-specialist doctor interactions through telemedicine advice sessions and streamlines online healthcare experiences by integrating a hybrid content-based filtering recommendation system. A secure biometric identification system using fingerprint or iris readings ensures user verification and access to medical records. Moreover, the system makes it possible to retrieve electronic prescriptions written by on-site doctors, giving consumers the option to print or buy medications directly from the pharmacists. The system stores e-prescription records on the Ethereum blockchain, allowing for future validation and reference, in order to guarantee data confidentiality and integrity. By combining cutting-edge prediction and recommendation algorithms with improved accessibility, efficiency, and data security, this research advances online healthcare delivery systems.