AI-ML based HealthCare Chatbot
Diya Gupta1, Hemangi Bhangale2, Neha Rathod3, Aditi Pisurde4, Amol Jadhav5
1Department of Information Technology, Zeal College of Engineering and Research
2Department of Information Technology, Zeal College of Engineering and Research
3Department of Information Technology, Zeal College of Engineering and Research
4Department of Information Technology, Zeal College of Engineering and Research
5Department of Information Technology, Zeal College of Engineering and Research
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Abstract—In the realm of modern healthcare, the exigency for instantaneous, accurate, and personalized medical assistance remains a paramount concern, primarily due to infrastructural deficits and delayed medical interventions, especially in remote locales. The AI-ML-powered healthcare chatbot aspires to ameliorate this predicament by offering 24/7 medical support, ranging from symptom assessment to scheduling consultations and medication reminders, thereby fortifying healthcare accessibility. The focal point of this inquiry entails a meticulous exploration of the underlying factors contributing to delayed medical responses, analysing the causative elements, and investigating the contextual framework to comprehend when and how such exigencies materialize. A comprehensive literature survey will be undertaken to discern prevailing methodologies and state-of-the-art techniques employed for the detection and prevention of health-related complications through chatbot interventions, leveraging machine learning and natural language processing paradigms. Subsequently, a comparative analysis of these techniques will be conducted to delineate their respective efficacies, performance metrics, and limitations, facilitating the selection of the most optimal strategy for deployment in real-world scenarios. Ultimately, the inquiry will culminate in a decisive conclusion that encapsulates the key findings, underscores the transformative potential of AI-ML chatbots in healthcare delivery, and delineates actionable recommendations for future enhancements and scalability .
Keywords—Healthcare Chatbot, Artificial Intelligence (AI), Machine learning (ML), Disease detection, Healthcare automation, Symptom Assessment
