International Journal of Innovative Research in Computer and Communication Engineering

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TITLE SWASTH AI – AI-Driven Multilingual Chatbot for Public Health Awareness
ABSTRACT Public health awareness remains a major challenge in developing regions due to limited access to medical professionals, lack of reliable information, and language barriers. Many individuals rely on unverified online sources, which often leads to misinformation, delayed diagnosis, and poor health decisions. To address this issue, this paper presents SWASTH AI, an AI-driven multilingual health awareness chatbot designed to provide accurate, accessible, and instant medical guidance to users. The proposed system demonstrates how AI-based conversational platforms can enhance preventive healthcare, reduce dependency on unverified sources, and promote early awareness of health conditions. Future enhancements include disease risk prediction, emotional sentiment analysis, and integration with government healthcare portals.
AUTHOR SHAGUN KESHARWANI, URVA TEMBHARE, UNNATI KESHARWANI, SHUBHRA JAIN UG Student, Dept. of CSE, AIML, Oriental Institute of Science and Technology, Bhopal, India Assistant Professor, Dept. of CSE, AIML, Oriental Institute of Science and Technology, Bhopal, India
VOLUME 180
DOI DOI: 10.15680/IJIRCCE.2026.1401035
PDF pdf/35_SWASTH AI – AI-Driven Multilingual Chatbot for Public Health Awareness.pdf
KEYWORDS
References 1. World Health Organization, Digital Health Report, 2024
2. Scikit-learn Documentation, 2024
3. Python NLP Libraries Documentation
4. Research papers on Healthcare Chatbots
5. Government Health Portals
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