Muskan Aggarwal

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About

Muskan Aggarwal is a researcher at the forefront of integrating artificial intelligence with healthcare and human-computer interaction. Her primary research areas span IoT-enabled systems, natural language processing (NLP), and machine learning, with a particular focus on developing intelligent chatbot applications for medical self-triaging. Aggarwal’s most cited work, “IoT based Chatbots using NLP and SVM Algorithms” (2022), which has garnered 9 citations, explores the use of AI-empowered chatbot-based symptom checkers (CSCs) to assist users in self-diagnosis and triaging. By combining IoT infrastructure with NLP and Support Vector Machine algorithms, her research aims to make preliminary medical assessments more accessible and efficient. Although this paper has been retracted, it reflects her early contributions to the growing field of AI-driven healthcare tools. Aggarwal’s work is particularly relevant for students and researchers interested in the intersection of conversational AI, Internet of Things, and medical informatics, highlighting both the potential and challenges of deploying AI in sensitive domains like healthcare.