AI-Driven Early Medical Diagnosis for Rural Area

Access to early diagnosis in rural India remains critically inadequate due to limited healthcare infrastructure, a shortage of trained professionals, and poor digital connectivity.This paper presents AIDia, a scalable, AI-powered diagnostic assistant built to serve underserved rural populations through mobile and kiosk-based platforms.AIDia integrates a symptom-based AI chatbot, image analysis using convolutional neural networks (CNNs), multilingual voice input, offline functionality, and telemedicine linkage.Designed for real-world constraints, it enhances triage accuracy and ensures faster referrals even in low-literacy and lowconnectivity settings.The system incorporates ethical AI practices, including bias mitigation, data privacy, and explainability.Through community-level deployment, AIDia aims to strengthen rural health resilience and reduce the diagnostic gap.