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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1865
HealthBuddy
Gaurav Baheti1, Saloni Ghag2, Yash Kamble3, Renuka Nagpure4
1 Student, Department of Information Technology Engineering, Atharva College of Engineering,
Maharashtra, India
2 Student, Department of Information Technology Engineering, Atharva College of Engineering,
Maharashtra, India
3 Student, Department of Information Technology Engineering, Atharva College of Engineering,
Maharashtra, India
4 Asst. Prof., Department of Information Technology Engineering, Atharva College of Engineering,
Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - HealthBuddy is a concept to supplyauseof mobile
application to ease the medical help by providing economical
and effective responses to users. Since the employmentofgood
phones has significantly grownup, the model ‘HealthBuddy’
can offer user the access to all or any the facilitiesanytimeand
from anyplace. During this fashionable and digital world, it's
vital to resolve the matter through digital and quicker means,
that the want throughout emergency should be consummated
in easy means. Within the gift life, it's arduous to recollect
everything, that the medication reminder and water intake
reminder keeps the user hip toconcerningthe medication dose
and water intake while not missing any. Information integrity
is extremely thought-about as a result of multiple varieties of
accounts that helps in maintaining security by solely giving
access to the information that the user is permitted to. This
application conjointly encompasses a conversation area
through that the patient will consult a Chatbot concerning
symptoms.
Key Words: Android Application, Medical assistance,
Symptoms Analyzer
1. INTRODUCTION
The huge worth of health to human life has been universally
acknowledged.
The means of “health” are often individually viewed from
various perspectives. Understanding how different
individuals consider health on a private level could provide
professionals with useful indications on what can influence
behavior with relevance health and wellness withinthefinal
population.
So as we all have heard the famous saying “HEALTH IS
WEALTH”. Health has become an awfully important
factor for every individual among the world. But
unfortunately this factor has been now neglected by most of
the persons as all have busy schedules happening in
everyone’s life.
Every day we will hear some newdiseasesornewsymptoms
of the prevailing disease beingdiscovered.Howeverwiththe
growing range of diseases and their symptoms, everybody
cannot manage to be updated with it. So to cater to such
situations, we are developing an android application
“HealthBuddy” which incorporates a list of number of
diseases, their symptoms. Also have another features like
BMI calculator, Medicine Reminder, Health Tips. User can
explore for nearby hospitals and clinics.
2. REVIEW OF LITERATURE
Development of Monitoring and Health Service
Information System to SupportSmartHealthon Android
Platform, Aisya Nur Aulia Yusuf, Fitri Yuli Zulkifli, I
Wayan Mustika, 2018[1]
The purpose of this study is to develop a health information
system that is able to provide patient health information to
the health workers using android platform and to
assist patients to schedule appointment with doctors.
Based on the research that has been carried out, we can
conclude that:
1. An android-based mobile application has been
developed to watch patient’s health condition to hold out
health look after patients as early as possible and to
boost health services
2. The developed android application has 11
features, they're patient registration, login, insert health
condition, view health condition chart, requestappointment
with doctor, view appointment schedule, view medical
treatments, view health article, view message from doctor,
do emergency calls and logout feature. All features
contained within the android application is fully function
and are tested using recording machine testing method.
Modified and Advanced System for Health Care
Application by Naveen Vaswani, Vandana Patel, Ashish
Saheta, Smit Shah, Sumit Shah[2]
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1866
Health care application will provide us the medical
help at quicker rate. Symptom Analyser analyses the
symptoms of the patient which helpsthedoctortotreattheir
patient in additional beneficial way. As chat room service is
provided during this application it adds a feature to
attach the doctor and patient directly. Use of Health
Care robot application will ease the Medical Assistance just
in case of emergency. It helps doctor to observe the patient
status via this application. Authentication ensures the
protection of data of doctor and patient. Finding
of donor nearest from the hospital become easier and
efficient.
Doctor Chatbot – Smart Health Prediction by Seema J,
Suman S, Chirag S R, Vinay G, Balakrishna D[3]
The most implemented Chatbot use AI and data
processing algorithms like SVM, Decision tree, Genetic
algorithm, Naïve Bayes, Pattern Matching, NLP, and more
using tools like WEKA or MATLAB for analysis or execution.
Some algorithms were tested and
compared supported accuracy after giving input datasets.
Some Chatbot used AIML for the QA structure. This paper
specifies Dialogflow because the Conversation Interface.
Under the medical domain, the information mining
model which provides the most effective accuracy for
predicting these diseases from the guts disease dataset was
the Support Vector Machine algorithm. AIML also can be
used for creating Chatbot by using XML format to store
questions and answers. MATLAB and Weka tools were used
for analysis purposes including pre-processing, clustering,
and graph plotting.
3. METHODOLOGY
Health Buddy is an Android application whichhelpstheuser
to ease medical situations User can register and Login
through Google Account as well as with Mobile number and
Email-ID.
A medical Chatbot is constructed to be a informal agent that
motivates users to debate regarding their health problems
and supported the symptoms provided by them, Chatbot
returns the diagnosis.
Also have other features like BMI calculator, Medicine
Reminder, First Aid Tips. User can search for nearby
hospitals and clinics.
4. BLOCK DIAGRAM
Fig - 1. System Flowchart of ‘HealthBuddy’.
The block diagram shows the major functional blocks that
are part of the system being described, the outside entities
and the major interfaces between them. Login and
Registration is done through firebase authentication.
Chatbot is implemented using SQLite database and
infermedica API. Nearby hospitals and clinic are searched
using google maps API. Medicine Reminder is implemented
using SQLite database for storing alarm and notification
details. Water Intake Reminder implemented using shared
preference.
5. IMPLEMENTATION
Fig - 2 Register and Login
User can Register and Login through Google Account as well
as with Mobile number and Email-ID.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1867
Fig - 3 Home screen and profile screen
It is the Home screen of the HealthBuddy which provides
multiple services to the user
Fig - 4 Chatbot screen
A medical Chatbot is made to be an informal agent that
motivates users to dialogueregardingtheirhealthissuesand
supported the symptoms provided by them,Chatbotreturns
the diagnosis.
Fig - 5 Nearby Hospitals or clinics
User can search nearby hospital with the detail information
of the hospital
Fig - 6 BMI Calculator
BMI Calculator to calculatethebody massindexusingheight,
weight and age as parameters.
Fig – 7 Medicine Reminder
Fig – 8 First aid tips
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1868
Fig – 9 Water Intake Reminder
6. CONCLUSION
The app was created keeping in mind the simplicityofuse by
the users and to enable them the power of machine learning
for their day to day work and also during the emergency
cases. Thus we conclude on our research and finding that
HealthBuddy will provide us the medical assistanceatfaster
rate. Hence providing quality health care services to all the
users and therefore contributing more towards the
Digitalization and Smart Technology.
REFERENCES
[1] Smart Health Predicting System Using K-Means
Algorithm by Ravuvar, H. N., Goda, H., R, S., &
Chinnasamy, P. International Conference on Computer
Communication and Informatics 2020.
[2] Chatbot for Disease Prediction and Treatment
RecommendationusingMachineLearningby Mathew,R.
B., Varghese, S., Joy, S. E., & Alex, S. S. . 3rd International
Conference on Trends in Electronics and Informatics
2019.
[3] Symptom Based Health Prediction using Data Mining by
Vijava Shetty, S., Karthik, G. A., & Ashwin, M. .
International Conference on Communication and
Electronics Systems 2019.
[4] A survey on Different Algorithms used in Chatbot by
Siddhi Pardeshi, Suyasha Ovhal, Pranali Shinde, Manasi
Bansode, Anandkumar Birajdar. International Research
Journal of Engineering and Technology 2020.
[5] Smart HealthConsultingAndroidSystem by RaviAavula,
M.Kruthini, N.Ravi teja, K.Shashank. International
Journal of Innovative Research in Science, Engineering
and Technology 2017
[6] An Improved Method forDiseasePredictionUsingFuzzy
Approach by Chetty, N., Vaisla, K. S., & Patil, N. . Second
International Conferenceon AdvancesinComputingand
Communication Engineering 2015
[7] SMART HEALTH CARE (AN ANDROID APP TO PREDICT
DISEASE ON THE BASIS OF SYMPTOMS) by Prashant
Tiwari, Aman Jaiswal, Narendra Vishwakarma,
Pushpanjali Patel. International Research Journal of
Engineering and Technology 2017.
[8] Android Based Health Care Monitoring System by
Devashri Deshmukh, Ulhas B. Shinde, Shrinivas R.
Zanwar. INTERNATIONAL JOURNAL OF ADVANCE
SCIENTIFIC RESEARCH AND ENGINEERING TRENDS
2017.
[9] Android based healthcaremonitoringsystem by Kumar,
M. A., & Sekhar, Y. R. . International Conference on
Innovations in Information, Embedded and
Communication Systems 2015.
[10] Android Application for Health-care System with Data
Warehouse by Ms. Dipali S. Shinde, Ms. Bhagyashree N.
Tupe, Ms. Pooja R. Raut, Ms. Supriya P. Gore, Mrs.Jagruti
Wagh. IJSTE - International Journal of Science
Technology & Engineering 2017

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HealthBuddy

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1865 HealthBuddy Gaurav Baheti1, Saloni Ghag2, Yash Kamble3, Renuka Nagpure4 1 Student, Department of Information Technology Engineering, Atharva College of Engineering, Maharashtra, India 2 Student, Department of Information Technology Engineering, Atharva College of Engineering, Maharashtra, India 3 Student, Department of Information Technology Engineering, Atharva College of Engineering, Maharashtra, India 4 Asst. Prof., Department of Information Technology Engineering, Atharva College of Engineering, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - HealthBuddy is a concept to supplyauseof mobile application to ease the medical help by providing economical and effective responses to users. Since the employmentofgood phones has significantly grownup, the model ‘HealthBuddy’ can offer user the access to all or any the facilitiesanytimeand from anyplace. During this fashionable and digital world, it's vital to resolve the matter through digital and quicker means, that the want throughout emergency should be consummated in easy means. Within the gift life, it's arduous to recollect everything, that the medication reminder and water intake reminder keeps the user hip toconcerningthe medication dose and water intake while not missing any. Information integrity is extremely thought-about as a result of multiple varieties of accounts that helps in maintaining security by solely giving access to the information that the user is permitted to. This application conjointly encompasses a conversation area through that the patient will consult a Chatbot concerning symptoms. Key Words: Android Application, Medical assistance, Symptoms Analyzer 1. INTRODUCTION The huge worth of health to human life has been universally acknowledged. The means of “health” are often individually viewed from various perspectives. Understanding how different individuals consider health on a private level could provide professionals with useful indications on what can influence behavior with relevance health and wellness withinthefinal population. So as we all have heard the famous saying “HEALTH IS WEALTH”. Health has become an awfully important factor for every individual among the world. But unfortunately this factor has been now neglected by most of the persons as all have busy schedules happening in everyone’s life. Every day we will hear some newdiseasesornewsymptoms of the prevailing disease beingdiscovered.Howeverwiththe growing range of diseases and their symptoms, everybody cannot manage to be updated with it. So to cater to such situations, we are developing an android application “HealthBuddy” which incorporates a list of number of diseases, their symptoms. Also have another features like BMI calculator, Medicine Reminder, Health Tips. User can explore for nearby hospitals and clinics. 2. REVIEW OF LITERATURE Development of Monitoring and Health Service Information System to SupportSmartHealthon Android Platform, Aisya Nur Aulia Yusuf, Fitri Yuli Zulkifli, I Wayan Mustika, 2018[1] The purpose of this study is to develop a health information system that is able to provide patient health information to the health workers using android platform and to assist patients to schedule appointment with doctors. Based on the research that has been carried out, we can conclude that: 1. An android-based mobile application has been developed to watch patient’s health condition to hold out health look after patients as early as possible and to boost health services 2. The developed android application has 11 features, they're patient registration, login, insert health condition, view health condition chart, requestappointment with doctor, view appointment schedule, view medical treatments, view health article, view message from doctor, do emergency calls and logout feature. All features contained within the android application is fully function and are tested using recording machine testing method. Modified and Advanced System for Health Care Application by Naveen Vaswani, Vandana Patel, Ashish Saheta, Smit Shah, Sumit Shah[2]
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1866 Health care application will provide us the medical help at quicker rate. Symptom Analyser analyses the symptoms of the patient which helpsthedoctortotreattheir patient in additional beneficial way. As chat room service is provided during this application it adds a feature to attach the doctor and patient directly. Use of Health Care robot application will ease the Medical Assistance just in case of emergency. It helps doctor to observe the patient status via this application. Authentication ensures the protection of data of doctor and patient. Finding of donor nearest from the hospital become easier and efficient. Doctor Chatbot – Smart Health Prediction by Seema J, Suman S, Chirag S R, Vinay G, Balakrishna D[3] The most implemented Chatbot use AI and data processing algorithms like SVM, Decision tree, Genetic algorithm, Naïve Bayes, Pattern Matching, NLP, and more using tools like WEKA or MATLAB for analysis or execution. Some algorithms were tested and compared supported accuracy after giving input datasets. Some Chatbot used AIML for the QA structure. This paper specifies Dialogflow because the Conversation Interface. Under the medical domain, the information mining model which provides the most effective accuracy for predicting these diseases from the guts disease dataset was the Support Vector Machine algorithm. AIML also can be used for creating Chatbot by using XML format to store questions and answers. MATLAB and Weka tools were used for analysis purposes including pre-processing, clustering, and graph plotting. 3. METHODOLOGY Health Buddy is an Android application whichhelpstheuser to ease medical situations User can register and Login through Google Account as well as with Mobile number and Email-ID. A medical Chatbot is constructed to be a informal agent that motivates users to debate regarding their health problems and supported the symptoms provided by them, Chatbot returns the diagnosis. Also have other features like BMI calculator, Medicine Reminder, First Aid Tips. User can search for nearby hospitals and clinics. 4. BLOCK DIAGRAM Fig - 1. System Flowchart of ‘HealthBuddy’. The block diagram shows the major functional blocks that are part of the system being described, the outside entities and the major interfaces between them. Login and Registration is done through firebase authentication. Chatbot is implemented using SQLite database and infermedica API. Nearby hospitals and clinic are searched using google maps API. Medicine Reminder is implemented using SQLite database for storing alarm and notification details. Water Intake Reminder implemented using shared preference. 5. IMPLEMENTATION Fig - 2 Register and Login User can Register and Login through Google Account as well as with Mobile number and Email-ID.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1867 Fig - 3 Home screen and profile screen It is the Home screen of the HealthBuddy which provides multiple services to the user Fig - 4 Chatbot screen A medical Chatbot is made to be an informal agent that motivates users to dialogueregardingtheirhealthissuesand supported the symptoms provided by them,Chatbotreturns the diagnosis. Fig - 5 Nearby Hospitals or clinics User can search nearby hospital with the detail information of the hospital Fig - 6 BMI Calculator BMI Calculator to calculatethebody massindexusingheight, weight and age as parameters. Fig – 7 Medicine Reminder Fig – 8 First aid tips
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1868 Fig – 9 Water Intake Reminder 6. CONCLUSION The app was created keeping in mind the simplicityofuse by the users and to enable them the power of machine learning for their day to day work and also during the emergency cases. Thus we conclude on our research and finding that HealthBuddy will provide us the medical assistanceatfaster rate. Hence providing quality health care services to all the users and therefore contributing more towards the Digitalization and Smart Technology. REFERENCES [1] Smart Health Predicting System Using K-Means Algorithm by Ravuvar, H. N., Goda, H., R, S., & Chinnasamy, P. International Conference on Computer Communication and Informatics 2020. [2] Chatbot for Disease Prediction and Treatment RecommendationusingMachineLearningby Mathew,R. B., Varghese, S., Joy, S. E., & Alex, S. S. . 3rd International Conference on Trends in Electronics and Informatics 2019. [3] Symptom Based Health Prediction using Data Mining by Vijava Shetty, S., Karthik, G. A., & Ashwin, M. . International Conference on Communication and Electronics Systems 2019. [4] A survey on Different Algorithms used in Chatbot by Siddhi Pardeshi, Suyasha Ovhal, Pranali Shinde, Manasi Bansode, Anandkumar Birajdar. International Research Journal of Engineering and Technology 2020. [5] Smart HealthConsultingAndroidSystem by RaviAavula, M.Kruthini, N.Ravi teja, K.Shashank. International Journal of Innovative Research in Science, Engineering and Technology 2017 [6] An Improved Method forDiseasePredictionUsingFuzzy Approach by Chetty, N., Vaisla, K. S., & Patil, N. . Second International Conferenceon AdvancesinComputingand Communication Engineering 2015 [7] SMART HEALTH CARE (AN ANDROID APP TO PREDICT DISEASE ON THE BASIS OF SYMPTOMS) by Prashant Tiwari, Aman Jaiswal, Narendra Vishwakarma, Pushpanjali Patel. International Research Journal of Engineering and Technology 2017. [8] Android Based Health Care Monitoring System by Devashri Deshmukh, Ulhas B. Shinde, Shrinivas R. Zanwar. INTERNATIONAL JOURNAL OF ADVANCE SCIENTIFIC RESEARCH AND ENGINEERING TRENDS 2017. [9] Android based healthcaremonitoringsystem by Kumar, M. A., & Sekhar, Y. R. . International Conference on Innovations in Information, Embedded and Communication Systems 2015. [10] Android Application for Health-care System with Data Warehouse by Ms. Dipali S. Shinde, Ms. Bhagyashree N. Tupe, Ms. Pooja R. Raut, Ms. Supriya P. Gore, Mrs.Jagruti Wagh. IJSTE - International Journal of Science Technology & Engineering 2017