Manuscript Number : SHISRRJ247289
Aayush Arogya Chatbot
Authors(2) :-S. E. Suresh, Sirasani Jayavardhan Reddy In today's fast-paced lifestyle, prioritizing healthcare often takes a backseat as people juggle between various responsibilities and distractions. The Aayush Arogya chatbot emerges as a solution to this growing concern by leveraging machine learning techniques to detect potential health issues before they escalate. By engaging users in a friendly conversational interface, the chatbot efficiently gathers information about their symptoms, enabling accurate diagnosis through symptom confirmation.
Employing advanced algorithms such as N-gram, TF-IDF, and Cosine similarity, the chatbot swiftly identifies the type of disease based on user inputs, categorizing them into minor and major ailments. For major diseases, users are advised to seek immediate medical attention, while for minor ailments, the chatbot offers practical precautions, including dietary suggestions, yogic exercises, and mudras.
This innovative approach not only enhances accessibility to healthcare but also minimizes healthcare costs and time constraints associated with traditional doctor visits. By empowering individuals to address their health concerns proactively, the Aayush Arogya chatbot promotes a culture of wellness and preventive care in today's digitally-driven society.
S. E. Suresh Healthcare, Data Collection, Data Pre-processing, Intent Recognition, Response Generation, chatbot, Evaluation Metrics. Publication Details Published in : Volume 7 | Issue 2 | March-April 2024 Article Preview
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Sirasani Jayavardhan Reddy
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Date of Publication : 2024-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 463-469
Manuscript Number : SHISRRJ247289
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ247289