Artificial Intelligence based Platform for Telemedicine

Abstract

Providing adequate healthcare in remote areas presents significant challenges. Often, hospitals are geographically distant, and consulting a medical professional can require extensive travel time. Consequently, health conditions may remain undiagnosed until they reach an acute stage. To address this issue, an AI-powered telemedicine system was developed to facilitate accessible, home-based health assessments. Users can input their symptoms alongside basic health parameters, allowing the system to predict potential diseases. Additionally, the platform features an integrated chatbot that interacts with users, answers health-related queries, and suggests actionable next steps. While this system is not a replacement for professional medical consultation, it assists individuals in early symptom detection and informed decision-making. The system was evaluated using publicly available health datasets, yielding practical and highly comprehensible results. Future enhancements could include voice interaction, multilingual support, and integration with smartwatches and other IoT medical devices. This study demonstrates that the proposed project offers a highly accessible approach to utilizing AI and telemedicine for remote health monitoring, particularly in underserved regions.