Volume : 12, Issue : 12, December- 2025
Title:
AI CHATBOT FOR PHARMA ASSISTANT
Authors :
Tushar S Bagmare, Shivam W Bhise, Neha B Bharate , Prof. M.S.Rekha D Kadam
Abstract :
The rapid expansion of healthcare services has created a need for communication tools that are dependable, easily accessible, and capable of supporting multiple languages. Existing drug-information platforms often struggle to deliver instant, user-friendly responses to patients. This study focuses on developing an AIdriven multilingual chatbot designed to provide pharmaceutical assistance. Using Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG), the system is able to address queries related to medication dosage, suitable alternatives, and drug availability. The chatbot is implemented with a front-end built in Angular/React and a Java Spring Boot backend. The findings emphasize the tool’s effectiveness in improving patient awareness, reducing the burden on pharmacists, and ensuring timely access to medication information. The paper also discusses potential future developments in personalized healthcare and the ethical considerations surrounding AI-supported medical guidance.
Cite This Article:
Please cite this article in press Tushar S Bagmare et al., AI Chatbot For Pharma Assistant, Indo Am. J. P. Sci, 2025; 12(12)..
Number of Downloads : 10
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