Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care
Abstract
The field of healthcare has witnessed remarkable
advancements in recent years, driven by the integration of
cutting-edge technologies into traditional medical practices. One
such innovation that has garnered significant attention is the
development of chatbots, powered by advanced natural language
processing (NLP) and machine learning techniques. These
chatbots have proven to be valuable tools for enhancing the
diagnostic process by engaging in conversations with patients,
extracting essential information about their physical symptoms,
and even assessing their emotional well-being. This paper
introduces an innovative web application called CareConnect:
Empowering Health Enhancing Care, that harnesses chatbot
technology to efficiently assess symptoms and analyze patient
emotions. By engaging in conversations with patients, chatbots
extract critical information about physical well-being and
emotional states, transforming this data into comprehensive
reports for evaluation and diagnosis by medical professionals.
Through this integration of technology and healthcare expertise,
our system not only enhances patient access to medical advice but
also highlights the transformative potential of AI-driven tools in
early and accurate disease diagnosis
Keywords:
Chatbots, Natural Language Processing (NLP), Medical Data Analysis, AI-Driven DiagnosticsPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Fabeela Ali Rawther , Abhinay A K, Anagha Tess B, Alan Joseph , Adham Saheer, Evaluating Annotation Consistency in Offensive Language Detection: A Data Analytics Approach on the TweetEval Dataset , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jincy Lukose, Anita Ann Joseph, Meenakshy BR , Nevin Siby, Rosaine P Lal , ENHANCED PNEUMONIA DETECTION IN CHEST X-RAYS USING ATTENTION AND FNMS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Alan K George, Arpita Mary Mathew, Asin Mary Jacob, Elizabeth Antony, Shiney Thomas, Classification of Lung Cancer Subtypes Using Deep Learning Model , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jesvin Jelson , Kesiya Rachel Johns, Mehak , Ken Jacob Zachariah, Neenu R, Custom Cart – Virtual try-on in e-commerce platforms using generative AI , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Anna N Kurian, Aravind R Nair, Athira Pradeep, Ben V Sajeesh, Traffic Violation Detection Using Machine Learning: A Comprehensive Study , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Ethen Biju, Chris Mathew, Alina Ann Joseph, Diya Kalyan, Ria Mathews, DaceStudio: AI-Driven Code Editing for Next-Gen Software Development , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Adhil Salim, Advaith Manoj, Alan Thomas Shaji, The Future of Encryption in the Face of Advancing Quantum Computing Technology , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Remya K R, Sudhama Swaminathan R, Vishnu Sudheer, Vishnukant PK, Nevin Nelson M, Automated Voice-Controlled PowerPoint Presentation Generation System from Voice/Text Prompts , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Joel Lee George, Karthik S Kumar , Riya Merce Thomas, Roshan Roy Varghese, Simy Mary Kurian, Epidemo A Machine Learning Regression-Based , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
