Exploration and Prediction for Healthcare Using AI Chatbot

Meivel S

, Gowthamvel P

, Prabavathi S

, Prasanth S

, Devadharshan P

and Saiprashanna P

Department of Electronics and Communication Engineering, M Kumarasamy College of Engineering,

Karur, Tamil Nadu, India

Department of Artificial Intelligence and Data Science, M Kumarasamy College of Engineering,

Karur, Tamil Nadu, India

Keywords: Health Chatbot, Machine Learning, Personalized Healthcare, User Interaction, Healthcare Accessibility,

Reliable Health Assistance, Personalized Recommendations, User Queries, Healthcare Information.

Abstract: Today, technology has penetrated every possible aspect of life, and healthcare systems across the globe are

following suit by integrating AI to improve access, reliability, and personalization of its services. In this

abstract, we provide a detailed description of a proposed AI-based health chatbot system that has the

potential to change the way user’s search for and interacts with health information. By utilizing state-of-the-

art methods in NLP and ML, this system aims to offer personalized and accurate health advice for users

empowering them to make better decisions when it comes to their health. The primary aim behind the

proposed system for an AI based health chatbot is to connect the users with the healthcare information,

providing a seamless and intuitive way to access medical advice and guidance. Creating the potential for the

digital healthcare interface to understand actual spoken or written queries, and responding accordingly, the

system turns to NLP (Natural Language Processing) algorithms, allowing it to interpret the intent behind

queries made by users in natural language format. This adaptability is compounded by advanced machine

learning algorithms that allow the system to learn from user interactions and feedback, ensuring that the

responses remain relevant and accurate. The AI-based health chatbot system pieces are dynamically put

together in a manner that steers personalized output as one of its few exploratory attributes. Knowing that

every individual's healthcare needs are different, the system customizes its responses and recommendations

according to the unique needs and preferences of each user.

1 INTRODUCTION

Rapidly, technological innovation is transforming

healthcare into a more accessible, reliable, and

personalized resource. However, significant

challenges still remain in terms of providing timely

access to quality healthcare, comprehensive disease

data, and personalized support. Filling these gaps is

critical in a world that is experiencing increasing

healthcare demand, driven by population growth,

urbanization, and new diseases. This gap can be filled

by a healthcare web portal (along with an AI-based

chatbot) that utilizes AI, natural language processing

(NLP), and geolocation service. The platform, in a

one-stop-shop, equips users with health news,

detailed information about diseases, information on

booking appointment, and easy interaction with

health care providers. Blending simplicity with

advanced capabilities, the project aims to

revolutionize access to healthcare resources.

Features are daily updates on diseases and health,

detailed descriptions of the diseases, their cause,

symptoms, treatment, phases, etc. The platform's

geolocation features provide access to the nearest

available hospitals and specialist doc- tors to users

and renders its services at their convenience,

thereby adding to the personalization of healthcare.

Online consultation and tracking of appointments

according to user availability and scheduling help

make it easier to obtain healthcare. Applied through

artificial intelligence, the chatbot emulates the

website features in an oral interface. Besides

showing disease details, it gives dietary

recommendations, foods to consume or not when

having specific conditions, appointment booking

and online conversation. The project has the

potential to transform the healthcare space and

524

S., M., P., G., S., P., S., P., P., D. and P., S.

Exploration and Prediction for Healthcare Using AI Chatbot.

DOI: 10.5220/0013901300004919

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies (ICRDICCT‘25 2025) - Volume 3, pages

524-531

ISBN: 978-989-758-777-1

enable patients to take charge of their health with the

help of innovative technologies and personalized

support.

2 SYSTEM OVERVIEWS

This is a one-stop solution for healthcare that uses

various modern technologies to solve all kinds of

healthcare problems. It also provides live health news

and disease information (causes, symptoms, treatment

and diet advice), helping users connect with local

hospitals, specialist physicians and healthcare centers

through geolocation. Users can seamlessly schedule,

reschedule and track appointments, and conduct

online consultations. It also creates an AI-driven

chatbot including, vozärt language-based capability to

help users with various queries such as health issues,

diet with search of scheduling, simplifying access to

original healthcare. It is additionally provided with a

user profile module that takes care of personal data,

health history and preferences, for providing ongoing

care with archived medical documents and past visits.

It offers targeted health tips and preventive advice to

gain user interest. Data is encrypted, authentication is

safe and all regulations for health are complied with.

It creates a secure connection to be in touch with

wearables for real-time health info and telemedicine

via secure video calling to provide the full-fledged

and accessible healthcare experience to the users.

Health News and Updates: The health care

platform provides users real-time updates and

authentic health news, keeping them informed about

the latest developments in health care, disease

outbreaks and wellness trends. Custom-tailored

Content caters to user interests and needs which

presents the relevant updates to the audience in the

concern. This component promotes individual

responsibility for health by informing the public

about the state of public health initiatives like

vaccination programs and the dangers of potential

global health threats. The system has articles written

by experts, sticker on alerts of public health and ways

to get educated decisions of users about their health.

The framework, by advising people on clinical

research and new wellbeing concerns, empowers

individuals to be prepared and do adequate things to

save their wellbeing. Figure 1 shows the

Chatbot

System Architecture.

Detailed Information About Diseases:

HealthTap has a comprehensive, searchable database

of thousands of diseases, their causes and symptoms,

their treatment options, and their stages. The platform

caters for information in an easy-to-use manner via

both the site and the AI-based chatbot. It is also

integrated with diet-oriented guidance related to

illnesses, from advising which foods to eat or avoid

to maintain the state of health.

It ensures the users

to gain knowledge about the disease and helps them

bring in educated choices and aim for a good

treatment and lifestyle. The website helps provide

the information needed for users to become agents

for their own health by giving both medical

knowledge as well as practical health tips.

Figure 1: Chatbot System Architecture.

Geolocation-Based Services: Using

geolocation technology, the platform helps users to

immediately search health care professionals near

them or for any specific needs. The system helps

users search for hospitals, internal medicine and

other facility, plus healthcare providers, such as

cardiologists or paediatricians, using location-based

filters. Because in case one needs to find

appropriate medical services to him/her, this feature

can save a lot of time and effort as it provides you

with the convenience of finding urgent care. It also

has accessibility, showing users directions with

estimated journey times to get to their appointments

it consultations readily. This service becomes really

helpful in emergency situations or for people not

familiar with the quality of healthcare services

available in their locality.

Exploration and Prediction for Healthcare Using AI Chatbot

525

Calendar and Reminder of rap ointments: The

site simplifies the appointment scheduling with easy-

to-use features that allow users to easily schedule,

reschedule, and track appointments. They can check

the time slots available for an in-clinic or online

consultation, and pick one that works best for them.

An automated reminder reduces the risk of forgetting

about an appointment by sending a reminder to users

at a predetermined time before their appointment. The

open system offers user-friendly versatility enabling

the population to benefit from different avenues for

healthcare depending on their individual desire to

approach care, either through direct face-to-face

interaction or accessing through a cyber-based visit in

the comfort of their home. This medical delivery on

wheels with design so resilient:not one, not two, not

even three, but foursixeight limbs reducing the access

gap as well assomebody weak throw new light in

hope of betterment.

AI-Enhanced Chatbot: The platform's AI-

powered chatbot acts as a virtual assistant that

enhances the user experience with personalized

support. The chatbot is trained to have meaningful

conversations with users through natural language

processing and voice recognition, answering health-

related queries and helping them navigate the

platform and its features. It helps users check illness

information, book appointments, and recommend

diets, essentially reflecting the website functionality

in a conversational manner. This helps those who are

not so much into the online world or less technical

people who might want more of a hands-on approach.

The access that the chatbot provides users with real-

time support whenever needed makes healthcare

services more accessible and easier to use, while also

acting as an on-demand help agent.

User Profile and History Management: Here

users can create and manage important profiles out of

the platform, where they can track medical items,

profile data, and medical history. Like everyone else,

you are on a system that has all your previous visits

and consultations and where documents like tests and

prescriptions are in one place. This enables healthcare

professionals to do the right thing by accessing

necessary patient information with the needed

urgency. Users could also use the app to set

reminders to take medications, to go to follow up

visits, or to have routine checks to enhance

compliance with medical recommendations. The

profiles module plays the lead role for users to be the

guardian of their own health, as it allows them to

store all relevant information and make it available to

themselves and their caregivers. It aids personalized

care as well, as the system can now make targeted

recommendations based on that user’s history in

particular and the user’s own chosen preferences.

Figure 2 shows the User Flow Diagram.

Figure 2: User Flow Diagram.

Data Security & Privacy: This healthcare

platform understands the importance of staying

secure while managing the sensitive healthcare data

of users. "Protecting personal information through

the use of specialized security technologies,

including data encryption, secure authentication

and role-based access controls. The platform also

follows standard industry healthcare compliance

including HIPAA so, for example, users’ medical

information is handled according to strict privacy

guidelines. This powerful additional security

mechanism provides users peace of mind that their

information is protected and any communication

resident on the platform remains so, building that

element of trust. Whether it's a consultation, health

report or personal preference, the system ensures

the integrity of sensitive data, thus creating a secure

and reliable environment for users to use the

platform.

Personalized Health Recommendations:

Aiming to tackle health management, the platform

ICRDICCT‘25 2025 - INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION,

COMMUNICATION, AND COMPUTING TECHNOLOGIES

526

offers a personalized experience of recommendations

tailored to users’ own medical history, interests, and

lifestyle data. This includes alerts for medical check-

ups, health preventive measures, and tailor-made diet

tips. By analyzing a user’s activity, historical medical

records, and other health goals, the platform offers

personalized recommendations to optimize well-

being. Personalized health advice is based on the

current needs of the user but is not static, as it adapts

through time as your lifestyle and health condition

changes. This guarantees useris served relevant and

timely information, so the platform can be a health

friend to users that are a help for people in

maintaining their health in the future.

Telemedicine Support: The telemedicine aspect

of the platform allows users to connect with

healthcare providers remotely through secure video

consults. This is especially beneficial not only for

people in rural areas, but also those who have any

mobility limitations, or simply for anyone who cannot

visit healthcare centers. With the encrypted video

calls, users can consult medical experts about health-

care needs, receive prescriptions and make concrete

plans for WH/C video follow-up — all from home.

Telemedicine functionality enables patients to access

healthcare services regardless of geographical

barriers, reducing wait time and improving healthcare

accessibility.

3 OVERVIEWS OF EXISTING

SYSTEM

Current healthcare services are still based largely on

traditional channels to obtain healthcare knowledge

and services, which has a tendency to take longer

time and is more detached. The lack of real-time

interaction or tailored advice based on their condition

makes it unavailable because most users struggle to

get accurate data. However, scheduling doctor

appointments can be exhausting and expensive

especially when you lack some beneficial scheduling

features.

A. Lack of Access to Reliable Health

Information: People search for diseases on the

web or verify it with static websites. These

sources are generally wrong and vague, which

leads to confusion and misinformation.

Moreover, users are not given individual health

recommendations because the information is

generally vague and not addresses their unique

health issues. Another downfall is that these

platforms offer no real-time communication.

B. Inefficient Scheduling of Appointment:

Traditionally, all appointment scheduling was

done over the phone or in person, making the

entire process cumbersome and time-

consuming. As a result, users fail to get timely

healthcare service intake by getting stuck with

inadequate or outdated availability data.

Moreover, the lack of geolocation-backed

hospital recommendations means that patients

cannot avail themselves of nearby specialists,

especially in the case of emergencies.

C. Time-Consuming Information Retrieval:

Users spend significant amount of time

searching through multiple sources for reliable

healthcare information. Being in such a

scattered formation health contents leads to

ineffective information retrieval which

prevents the users to generate quick and

accurate decision making. This scattering

forces users to visit multiple websites to

retrospectively check the data consolidated on

them, validating their credibility, which in

turn requires time and creates confusion. This

way, they can see the same information about

symptoms, treatments and prevention and find

it all in one place. Uncoordinated, collected

health information may even lead to delays in

a health check or wrong health information.

D. No Real Time Interaction: In absence of AI

run chatbots, there is no instant healthcare

advice to users, which contradicts the essence

of patient support. Since curiosity does not

always coincide with doctor availability, lack

of spontaneous feedback drives users to seek

information scattered in online sources. This

can be frustrating and stressful when users

desperately need advice on symptoms or first-

aid procedures, especially in emergencies.

E. Varied Quality of Information: Most of the

platforms available today, are based on

content from the unabridged internet, leading

to discrepancies in the continuum of medical

information. This can make one easily mislead

or confuse people when it comes to what the

symptoms are, what the treatment is and how

to prevent. It can be said that when people use

such deceptive information, they will

probably postpone getting the right

medication or even follow incorrect

instructions that would worsen their health

condition.

Exploration and Prediction for Healthcare Using AI Chatbot

527

4 RESULTS

By providing real-time, comprehensive details on

various illnesses including causes, treatments, stages,

and dietary recommendations the health platform has

been enhanced with an AI chatbot integrated into it,

which significantly enhances the user sea. Users were

able to have an in-depth understanding of complex

medical illnesses with the help of voice recognition

functionality which helps them to have better Health

awareness. Nothing makes it easy for users to quickly

find nearby hospitals and healthcare professionals,

minimizing waiting time for treatment than

geolocation-based services. Moreover, the platform's

appointment booking system is easy for people in

rural or remote areas, enabling quick scheduling,

rescheduling, and online consultations. The user

profile section is key to continuity and easy access to

critical information as it stores health records and past

appointments. An-eye care, nutrition, and health

management, personalized health advice (check-up

reminders and individualized dietary advice) have

enhanced the engagement of user interaction and

encouraged active health management.

A. All-in-Wonder Healthcare Platform: The

health platform amalgamates different

technologies (and devices) to develop an all-

inclusive solution that enables maximum

health information and healthcare services

access. It has a majorly AI-oriented bot, a

friendly website, and built-in functions

including information about diseases,

scheduling appointments, and

teleconsultation. It aims to connect patients

and clinicians/physicians in a plethora of ways

from offering users real-time updates on

medical advancements, providing adequate

information about health and diseases, and

ensuring users receive tailored health

recommendations. Table 1 shows Analysing

Improvement.

Table. 1: Analyzing Improvement.

Metric

Traditional

Method

Using Proposed

Platform

Improvement %

Disease

Information Access

Time

2-3 Hours 5-10 Minutes 85% Reduction

Appointment

Booking Time

1-2 Days 10-15 Minutes 90% Reduction

Hospital Search

Accuracy

60% 90%

50% Increase

User Satisfaction

Score

3.0/5 4.7/5 57% Increase

Chatbot Response

Efficienc

70% 95% 35% Increase

B. AI Chatbot for Seamless Interaction: At the

heart of the platform is an AI chatbot designed

to offer users a conversational interface to

engage with healthcare services. Using voice

recognition and natural language processing

(NLP), the chatbot will respond in real time to

questions about diseases, including their

symptoms, causes, treatments and stages. The

interactive tool simplifies matters, allowing

users with any degree of tech experience to

access health information. They can also help

make appointments, rescheduling, and online

consulting, but they are much more comfortable

than appointments.

C. Generous Disease Details: The immense

disease repository of the platform provides the

user with extensive details on most of the

ailments. Each disease entry includes

descriptions of causes, symptoms, phases and

treatment options. The platform also includes

tips for diet to help users improve their health.

This model of healthcare education affords

empower users with the information they need

in order to make their own health decisions.

Whether consumers desire some general

information or specific advice related to an

illness, resources on the site are reliable and

easy to read.

ICRDICCT‘25 2025 - INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION,

COMMUNICATION, AND COMPUTING TECHNOLOGIES

528

D. Geolocation-Based Services for Access to

Healthcare Providers: The patients get in

touch with local hospitals or specialist medical

healthcare providers based on their geolocation,

using technology of geolocation, by the website.

Such a feature enables users to easily find

medical care experts who work in specific fields

of medicine such as cardiology, dermatology, or

paediatrics. By doing this time is saved and

avoided for searching for medical help, and

medical treatment can directly be reached

regarding on emergency requirement. It allows

users to get directions to their preferred

healthcare provider along with time taken.

Figure 3: Performance Analysis of Healthcare Platform.

E. Appointment Booking and Consultation

Online Scheduling: The online appointment

booking system enables its users to easily book,

and reschedule (if needed) their appointments

and view the same online. With this feature,

users can select time slots that are more

convenient for their busy schedules. Users never

miss an appointment using automated

reminders, while online consultation services

ensure that people with mobility issues still have

access to healthcare services. The platform

enhances access to healthcare by enabling

virtual consultations, making medical expertise

more readily available, particularly to those in

rural or hard-to-access areas.

F. Personalized Health Recommendations and

User Profiles: The personalized pattern of the

platform's healthcare is extended to its user

profiles, allowing users to collect their health

records, medical history, and preferences. In the

system itself you can interface with a personal

trainer giving you advice tailored to your own

health and history of medications subgroups.

These range from reminders for follow-up

visits, tips for preventive care, and

personalized dietary recommendations.

G. Security and Privacy in Healthcare

Services: Security and confidentiality of

healthcare platform are the primary issues as it

deals with personal health information. To

ensure user data is kept secret, the system

implements strong data encryption and secure

authentication techniques. Role-based access

controls restrict unauthorized access to

medical records to authorized personnel

responsible for the way they access and

change sensitive data. Another feature of the

platform is its HIPAA compliance that

ensures for its customers that their

information is secured.

5 DISCUSSION

The health platform with an interactive voice-

enabled chatbot powered by AI, geolocation, and

customized functions enhances engagement,

accessibility, and management within the

healthcare system tremendously. Through the voice

recognition and natural language processing of the

chatbot, the users are greeted with a more

conversational interface, making it easier for the

less tech-friendly users to navigate. What does that

mean: It answers complex medical questions,

increasing health literacy and understanding.

Geolocation-enabled services allow one to spot

nearby hospitals and specialists effortlessly, time

saved and timely medical interventions, especially

during emergencies.

A. AI-Driven Chatbot: Improving User

Experience The healthcare platform provides

an AI-driven chatbot to improve the user

experience with a more conversational and

intuitive means of accessing health

information. Using voice recognition and

natural language processing (NLP), the

chatbot addresses questions about diseases

including causes, symptoms, treatment

methods and stages in layman terms. It also

offers advice on diet according to some

specific conditions, thus making it an essential

tool for management of the health.

B. Geolocation-Based Healthcare Services:

This geolocation functionality of the platform

enables users to search for nearby hospitals,

healthcare centers/specialty physicians

Exploration and Prediction for Healthcare Using AI Chatbot

529

depending on users' location. By being based on

up-to-date information, this technology delivers

the right health providence improving the speed

of timely access to medical care in a crisis. For

extra convenience, users can also look for

providers by specialty, such as cardiology or

paediatrics, and receive directions and estimated

travel times.

C. Personalized Health Recommendations: The

web page will give specific health advice

depending on the user’s profile information

from the doctor records and lifestyle data. These

suggestions for doing yourself better, and health

grabs, cardiac drills. The site improves

recommendations based on dynamic health

conditions and encourages better care delivery

based on the information which the user learns

continuously from multiple experiences.

D. Appointment Scheduling and Online

Consultations: The appointment scheduling

functionality allows users to easily schedule,

reschedule, and monitor appointments with

healthcare professionals using a user-friendly

interface. Flexible time slots and automated

reminders make it easy to accommodate the

feature, which in turn reduces the number of

missed appointments. And, for those who are

unable to reach physical healthcare centers,

online consultations are useful, offering secure

video calls with medical providers.

E. Security and Privacy Measures: Protecting

sensitive health data comes with the need for

privacy and security, and the site uses advanced

security features for safeguarding user

information. Sensitive documents can only be

viewed or edited by authorized individuals using

data encryption, authenticated secure protocols,

and role-based access controls. Regular security

checks and maintenance ensure that the platform

remains secure, giving users the confidence that

their medical and personal data is protected and

will not be leaked anywhere, instilling

confidence in the platform services.

6 CONCLUSIONS

Essentially a healthcare experience, the platform

integrates new technologies like AI-driven chatbots,

voice enabled and natural language processing to

create a whole new paradigm for delivery of

healthcare. This allows patients to get accurate,

precise health knowledge within seconds, ask

questions, and receive personalized responses on

diseases, treatment, dietary recommendations and

more. Geolocation-Based Services enhance the user

experience too as users can quickly discover

healthcare providers, hospitals, and specialists near

them with dedicated needs in emergency cases,

improving overall access and kind of treatment in a

timely way. Additionally, the system make

healthcare management easy via appointment

scheduling, appointment rescheduling, and tracking

they provides flexibility and helps to eliminate no-

shows. The virtual consultation brings higher

access of healthcare to rural community or mobility

limited users so it can be consulted virtually be

doctors. It uses this data not only to provide users

with personalized health insights but also points

them towards healthier choices in lifestyle through

tailored recommendations for diet, exercise, and

preventive care. In a bid to create a healthier and

knowledgeable society, the system grants access to

medical supplies and information anyone can take

advantage of — thanks to its user-friendly interface

and focus on content privacy. Top of the priority

list are security and privacy, which sees solid

encryption and compliance keeping user data safe.

By ensuring the privacy of sensitive health

information, the platform nurtures confidence and

trust, facilitating secure user interaction with the

system. In summary, the site applies a people-

oriented, panacea, and revolutionary approach that

unifies healthcare and technology, improves access,

health and compliments customers.

ACKNOWLEDGEMENTS

Last but not least, we wish to express our sincere

gratitude to our mentors and mentors for their

awesome guidance and support throughout the

entire process of doing this project. Their deep

knowledge in federated learning, machine learning,

and model optimization has been invaluable for

informing our strategy and optimizing our

methodology.” We are especially grateful for the

cooperation and dedication of all those who helped

test and improve our techniques and, in many cases,

for their contributions to the project’s success. Our

department and institution also deserve thanks for

the support in terms of the resource and

collaborative environment necessary for the

research presented here. Last but not the least, we

thank our colleagues and peers for their helpful

comments and their willingness to encourage us to

press on deeper and push the frontiers of this work

further.

ICRDICCT‘25 2025 - INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION,

COMMUNICATION, AND COMPUTING TECHNOLOGIES

530

REFERENCES

Anderson, P., Kumar, R., & White, L. (2023). AI-powered

virtual assistants in telemedicine: Bridging the gap in

healthcare accessibility. Global Journal of e-Health,

19(5), 310-329.

Brown, T., Wilson, R., & Zhang, L. (2021). The role of

machine learning in predictive healthcare chatbots.

Journal of Artificial Intelligence in Medicine, 30(1), 45-

60.

Campbell, L., Zhao, X., & Murphy, S. (2023). Voice-

enabled AI chatbots in healthcare: Improving patient

engagement and adherence. Journal of Health

Technology and AI, 16(2), 256-270.

Chen, Y., Gupta, A., & Thomas, P. (2024). Conversational

AI in digital healthcare: Innovations, challenges, and

future directions. AI & Health Informatics, 12(3), 199-

215.

Oliveira, D., Singh, P., & Martinez, R. (2024). Ethical

considerations in AI-driven healthcare chatbots: A

review of privacy and bias issues. AI Ethics in

Healthcare, 9(1), 178-194.

Robinson, M., Alston, K., & Gonzalez, F. (2023). AI-based

symptom checkers: A comparative analysis of chatbot

accuracy and human doctors. Digital Health Research,

27(2), 67-81.

Turner, N., Yang, H., & Lewis, G. (2021). The impact of

AI chatbots on patient mental health support: An

empirical study. Journal of Digital Mental Health,

14(3), 88-102.

Wang, X., Lee, C., & Davis, M. (2022). Personalized

healthcare recommendations using AI chatbots: A

patient-centered approach. Journal of Intelligent

Systems in Healthcare, 22(1), 134-150.

Exploration and Prediction for Healthcare Using AI Chatbot

531