MATERNAL HEALTH CHATBOT USING AI

Abstract

Maternal healthcare is a critical aspect of public health, requiring timely information, guidance, and support for expecting and new mothers. This research presents an AI-powered Maternal Health Chatbot designed to provide personalized assistance, monitor maternal well-being, and offer evidence-based recommendations. The chatbot leverages natural language processing (NLP) and machine learning (ML) algorithms to engage users in real-time conversations, addressing queries related to prenatal care, postpartum recovery, nutrition, fetal development, and common pregnancy concerns. Additionally, the system integrates risk assessment models to detect potential complications and suggest appropriate actions. By utilizing a user-friendly interface and multilingual support, the chatbot ensures accessibility for diverse populations. The proposed system aims to enhance maternal health awareness, reduce misinformation, and bridge the gap between patients and healthcare professionals. The implementation of AI in maternal care has the potential to improve health outcomes, encourage proactive monitoring, and provide round-the-clock assistance, making quality maternal healthcare more accessible and efficient.