AI-Based Doctor Appointment Scheduling and Disease Diagnosis

Abstract

Access to healthcare remains a critical challenge across rural and semi-urban regions of India, where patients encounter difficulties such as limited availability of specialist doctors, communication barriers due to regional language diversity, absence of early screening tools, and fragmented systems for booking medical consultations. These issues often lead to delayed treatment, worsened health outcomes, and unnecessary travel to distant urban hospitals. Swasth AI addresses these challenges through an intelligent healthcare platform that enables users to describe symptoms via text or voice in seven Indian languages, receive AI-powered preliminary health assessments, identify suitable doctors through a multi-factor ranking system, and book appointments with automated email confirmations. Additionally, the platform incorporates a deep learning module for image-based skin condition classification using a Convolutional Neural Network trained on clinical dermatology data. The system architecture employs React 19 with Next.js 15 for the user interface, a Python-based REST API with PostgreSQL for data management, TensorFlow.js for in-browser model inference, the Web Speech API for multilingual voice recognition, and EmailJS for patient notifications. A geolocation-powered hospital mapping feature helps users identify nearby healthcare facilities without reliance on external map services. By combining NLP-driven symptom analysis, transfer learning for medical image classification, intelligent scheduling with patient registration, and an emergency alert mechanism, SwasthAI delivers an accessible, technology-driven healthcare experience designed to serve communities with limited medical infrastructure.