A PROJECT REPORT

ON

HEALTH RECOMMENDATION AND TRACKING SYSTEM

A project report submitted in partial fulfillment of the requirements for the award of the degree of

BACHELOR OF TECHNOLOGY
IN
COMPUTER SCIENCE & ENGINEERING
Submitted By
S. MD. ASHFAQ 222P5A0519
S. K. MD. ZUHER 222P5A0518
S. MD. ADIL 212P1A05C3
J. KOULUTLAIAH 222P5A0506
S. T. ABDULLA 212P1A05C8

Under The Esteemed Guidance Of

Mr. SK. Riyaz

Professor

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

AN ISO 9001:2015 CERTIFIED INSTITUTION

CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (AUTONOMOUS)

(Sponsored by Bharathi Educational Society)

(Affiliated to J.N.T.U.A., Anantapuramu, Approved by AICTE, New Delhi)

Recognized by UGC Under the Sections 2(f)&12(B) of UGC Act, 1956

(Accredited by NAAC & NBA)

Vidyanagar, Proddatur-516360, Y.S.R.(Dist.), A.P

2021 - 2025
 CERTIFICATE

This is to certify that the project work entitled “HEALTH RECOMMENDATION AND TRACKING
SYSTEM” is a Bonafide work of S. MD. ASHFAQ (222P5A0519), S. K. MD. ZUHER (222P5A0518),
S . M D .ADIL(212P1A05C3), J . KOULUTLAIAH (222P5A0506), S. T. ABDULLA (212P1A05C8)
submitted to Chaitanya Bharathi Institute of Technology, Proddatur in partial fulfillment of the
requirements for the award of the degree of Bachelor of Technology in COMPUTER SCIENCE AND
ENGINEERING. The work reported here in does not form part of any other thesis on which a degree has
been awarded earlier. This is to further certify that they have worked for a period of one semester for
preparing their work under our supervision and guidance.

INTERNAL GUIDE HEAD OF THE DEPARTMENT

Mr. SK. Riyaz Dr. Y. Dasaratha Rami Reddy, M.Tech, Ph.D

Asst.Professor Professor

PROJECT CO-ORDINATOR

Dr. P. Narasimhaiah, M.Tech, Ph.D,

Associate Professor

INTERNAL EXAMINER EXTERNAL EXAMINER

 DECLARATION BY THE CANDIDATES

We are S. MD. Ashfaq, S. K. MD. Zuher, S. MD. Adil, J. Koulutlaiah, S. T. Abdulla with

respective RollNo:(222P5A0519), (222P5A0518), (212P1A05C3), (222P5A0518), (212P1A05C8)

hereby declare that the Project Report entitled “HEALTH RECOMMENDATION AND TRACKING

SYSTEM under the guidance of Mrs. SK. Riyaz, Asst.Professor, Department of CSE is submitted in

partial fulfillment of the requirements for the award of the degree of Bachelor of Technology in

Computer Science & Engineering.

This is record of bonafide work carried out by us and the results embodied in this Project Report have

not been reproduced or copied from any source. The results embodied in this Project Report have not

been submitted to any other University or Institute for the Award of any other Degree or Diploma.

S. MD. ASHFAQ 222P5A0519

S. K. MD. ZUHER 222P5A0518

S. MD. ADIL 212P1A05C3

J. KOULUTLAIAH 222P5A0506

S. T. ABDULLA 212P1A05C8

Dept. of Computer Science & Engineering

Chaitanya Bharathi Institute of Technology

Vidyanagar, Proddatur, Y.S.R.(Dist.)
 ACKNOWLEDGEMENT

An endeavour over a long period can be successful only with the advice and support of many well-
wishers. We take this opportunity to express our gratitude and appreciation to all of them.
We are extremely thankful to our beloved Chairman, Dr. V. Jayachandra Reddy, who took keen
interest and encouraged us in every effort throughout this course.

We would like to thank our esteemed Director (Admin), Dr. G. Sreenivasula Reddy, M.Tech., Ph.D.,
who have truly enriched our understanding and inspired us.
We owe our gratitude to our Principal Dr. S. Sruthi, M.Tech., Ph.D. for permitting us to use the
facilities available to accomplish the project successfully.
We express our heartfelt thanks to Dr. Y. Dasaratha Rami Reddy, M.Tech., Ph.D., Head of Dept. of
CSE for his kind attention and valuable guidance to us throughout this course.
We also express our deep sense of gratitude towards Mr. SK. Riyaz, Asst.Proffesor, Dept. of CSE,
for her support and guidance in completing our project.

We express our profound gratitude to our project coordinator Dr. P.Narasimhaiah, M.Tech, Ph.D.,
for his valuable support and guidance in completing the project successfully.

We also thank all the teaching & non-teaching staff of the Dept.of CSE for their support
throughout our B.Tech course.

We express our heartful thanks to our parents for their valuable support and encouragement in
completion of our course. Also, we express our heartful regards to our friends for being supportive in
completion of the project.
 INDEX
CONTENT PAGE NO
Abstract 9

1.INTRODUCTION 10-11
1.1 Problem Statement 10
1.2 Objective of the Project 10
1.3 Scope 10
1.4 Project Introduction 11
2.LITERATURE SURVEY 12-13
2.1 Related Work 13
3. SYSTEM ANALYSIS 14-15
3.1 Existing System 14
3.2 Disadvantages 14
3.3 Proposed System 14
3.4 Advantages 14
3.5 Work Flow of Proposed system 15
4. REQUIREMENT ANALYSIS 16-18
4.1 Function and non-functional requirements 16
4.2 Hardware Requirements 17
4.3 Software Requirements 18
4.4 Architecture 18
5. SYSTEM DESIGN 19-25
5.1 Introduction of Input design 19
5.2 UML Diagram(class, use case, sequence, collaborative, 20-23
deployment, activity, ER diagram and Component diagram)
5.3 Data Flow Diagram 24-25
6. IMPLEMENTATION AND RESULTS 26-31
6.1 Modules 26
6.2 Output Screens 26-31
7.SYSTEM STUDY AND TESTING 32-37
7.1 Feasibility study 32
7.2 Types of Testing & Test Cases 33-34
7.3 Test Cases 35-37

8. CONCLUSION 38
9. FUTURE ENHANCEMENT 39
10. REFERENCES 40
11. APPENDIX 41-47

12. BIO DATA 48-49

 LIST OF FIGURES

S.NO FIGURE NO. FIGURE NAME PAGE NO.

1 3.5 Workflow Diagram 15

2 4.5 Architecture 18

3 5.2.1 Use case diagram 20

4 5.2.2 Class diagram 21

5 5.2.3 Sequence diagram 21

6 5.2.4 Collaboration 22
diagram
7 5.2.5 Deployment diagram 22

8 5.2.6 Activity diagram 23

9 5.2.7 Component diagram 23

10 5.2.8 ER diagram 24

11 5.3 Level 1 DFD 25

12 5.3 Level 2 DFD 25

 LIST OF OUTPUT SCREENS

S.NO Figure No Figure Name PageNo

1 6.2.1 Home Page 26

2 6.2.2 Admin 27

3 6.2.3 Manage Food 27

4 6.2.4 Manage Exercise 28

5 6.2.5 Login 28

6 6.2.6 Registration 29

7 6.2.7 Profile Page 29

8 6.2.8 Recommendation 30

9 6.2.8 Tracking 30

10 6.2.10 Charts 31
 HEALTH RECOMMENDATION AND TRACKING SYTEM

ABSTRACT

Health Care Tracking and Recommendation is an innovative application designed to revolutionize

healthcare management by leveraging the power of Spring Boot and React JS technologies. This
application addresses the need for efficient health monitoring and personalized recommendations to
enhance overall well-being. Through seamless integration with wearable devices and health sensors,
the system continuously tracks vital health metrics, generating real-time data for users. The Spring
Boot backend ensures robust and scalable data processing, while the React JS frontend provides an
intuitive user interface for effortless interaction. The application employs advanced algorithms to
analyze health data, offering personalized recommendations for lifestyle adjustments, exercise
routines, and dietary plans. This proactive approach empowers users to make informed decisions
about their health, promoting preventive care.

Keywords: Health Care, Tracking, Recommendation.

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1. INTRODUCTION

1.1 PROBLEM STATEMENT:

In the realm of healthcare, efficient tracking and personalized recommendation systems are lacking,
hindering the optimization of patient care. Current methods often fall short in integrating
comprehensive health data and providing targeted suggestions for individuals. This project aims to
address these shortcomings by developing an advanced Health Care Tracking and Recommendation
system, ensuring seamless data integration and offering tailored health recommendations for
improved overall well-being.

1.2 OBJECTIVE OF THE PROJECT:

The objective of the Health Care Tracking and Recommendation project is to develop an integrated
system that monitors and analyzes individuals' health data, utilizing advanced tracking technologies.
This system will provide personalized health recommendations based on the collected data,
promoting proactive healthcare management. The goal is to enhance overall well-being, prevent
potential health issues, and encourage individuals to adopt healthier lifestyles through tailored
guidance and support.

1.3 SCOPE:

The scope of the "Health Care Tracking and Recommendation" project includes developing a
comprehensive system for monitoring and analyzing individual health data. This encompasses the
creation of a user-friendly interface for data input, integration of health monitoring devices, and the
implementation of advanced algorithms to provide personalized health recommendations. The
project aims to enhance preventive care and foster healthier lifestyles through data-driven insights
and suggestions.

1.4 PROJECT INTRODUCTION:

In the dynamic landscape of healthcare, the fusion of technology and personalized care has become
imperative for ensuring optimal well-being. The "Health Care Tracking and Recommendation"
project represents a groundbreaking venture at the intersection of healthcare and cutting-edge data
analytics. This innovative system is designed to meticulously monitor and analyze individual health

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metrics, offering a comprehensive understanding of one's physical condition. Through real-time

tracking of vital parameters, lifestyle factors, and medical history, the platform aims to provide a
holistic perspective on an individual's health status.
The core strength of this project lies in its intelligent recommendation system, leveraging advanced
algorithms to generate personalized health advice and interventions. By synthesizing vast datasets,
the system not only identifies potential health risks but also proposes targeted recommendations for
lifestyle modifications, preventive measures, and medical consultations. This transformative
approach empowers individuals to proactively manage their health, fostering a paradigm shift
towards preventive healthcare. The "Health Care Tracking and Recommendation" project stands at
the forefront of healthcare innovation, heralding a new era where technology becomes an
indispensable ally in the journey towards holistic well-being.

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2. LITERATURE SURVEY

2.1 Related Work:

1. Year: 2023- Author(s): Smith, J. et al. - Title: "Advancements in Wearable Health
Monitoring Devices for Personalized Care"

Summary: Smith and colleagues explore the latest developments in wearable health monitoring
devices, emphasizing their role in personalized healthcare. The study delves into the integration of
biosensors, machine learning algorithms, and real-time data analysis to provide accurate health
tracking. The authors highlight the potential of these devices to monitor various health parameters,
enabling early detection of anomalies and facilitating timely interventions. The review underscores
the significance of user-friendly interfaces and seamless connectivity for improved patient
engagement and adherence to health recommendations.

2. Year: 2022- Author(s): Garcia, M. et al. - Title: "Artificial Intelligence in Healthcare: A

Comprehensive Review of Applications and Challenges"

Summary: Garcia et al. conduct a comprehensive review of the application of artificial intelligence
(AI) in healthcare. The study explores the use of AI in disease diagnosis, treatment recommendation,
and patient management. The authors discuss the challenges associated with implementing AI in
healthcare, including ethical considerations, data privacy, and the need for regulatory frameworks.
The review provides insights into the current state of AI in healthcare and offers recommendations
for overcoming the existing challenges to ensure the responsible and effective integration of AI
technologies.

3. Year: 2021 - Author(s): Chen, L. et al. - Title: "Block chain Technology for Secure Health
Data Management: A Review"

Summary: Chen and collaborators present a thorough review of the application of block chain
technology in health data management. The study discusses the potential of block chain to address
security and privacy concerns associated with health data, offering a decentralized and tamper-
resistant solution. The authors explore use cases such as secure sharing of electronic health records
and transparent management of clinical trials. The review sheds light on the challenges and future

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directions of implementing block chain in healthcare, emphasizing the need for standardization and
interoperability.

4. Year: 2020 - Author(s): Wang, Y. et al. - Title: "Telemedicine in the Post-COVID-19 Era: A
Literature Review"

Summary: Wang et al. provide a timely review of the role of telemedicine in the post-COVID-19
era. The study examines the accelerated adoption of telehealth technologies during the pandemic and
assesses their impact on healthcare delivery. The authors discuss the benefits of telemedicine, such as
increased accessibility and reduced healthcare disparities, while also addressing challenges like
technological barriers and regulatory issues. The review emphasizes the need for a sustainable
telehealth infrastructure and policy support to ensure its continued success in the evolving healthcare
landscape.

5. Year: 2019 - Author(s): Kim, H. et al. - Title: "Mobile Health Applications for Chronic
Disease Management: A Systematic Review"

Summary: Kim and co-authors conduct a systematic review of mobile health (mHealth) applications
focusing on chronic disease management. The study assesses the effectiveness of mHealth apps in
supporting self-management, monitoring, and adherence to treatment plans for chronic conditions.
The authors highlight the potential of these applications in empowering patients and improving
health outcomes. The review also addresses concerns related to the reliability and security of
mHealth apps, emphasizing the importance of evidence-based design and user engagement strategies
for their successful implementation in chronic disease management.

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3. SYSTEM ANALYSIS

3.1 Existing System

The current health care tracking and recommendation system that monitors patients' health data and
provides recommendations for lifestyle changes. It collects data from wearable devices and medical
records to offer personalized advice. However, the system has limitations such as data security
concerns, lack of real-time monitoring, and the dependency on user input accuracy, which may affect
the reliability of recommendations.

3.2 Disadvantages

 Data Security Concerns

 Limited Real-Time Monitoring
 Dependency on User Input Accuracy

3.3 Proposed System

Our Health Care Tracking and Recommendation system leverages advanced data analytics to
monitor individual health metrics, offering personalized recommendations for improved well-being.

3.4 Advantages
 Proactive Health Management
 Tailored Wellness plans
 Advertisement free
 Manual Entry
 No use of Sensor watches or devices for tracking

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

3.5 Work Flow of Proposed system

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

4. REQUIREMENT ANALYSIS

4.1 Functional and non-functional requirements

1. User Registration and Authentication:

- Users should be able to register and create accounts securely.
- The system must have a robust authentication mechanism to ensure the security of user data.

2. Profile Management:
- Users should be able to create and manage their profiles, including personal information, medical
history, and preferences.

3. Food & Exercise Data Tracking:

- Users should be able to input and track health data, such as weight, height, exercise routines and
dietary habits.

- The system should support automatic data import from wearable devices or other health tracking
tools.

4. Recommendation System:

- Implement an intelligent recommendation system that provides personalized food and advice
based on user data.

- Recommendations should cover areas like exercise routines, dietary plans, and preventive health
measures.

Non-functional Requirements:

1. Security:
- The system must comply with industry standards for data security, ensuring the confidentiality
and integrity of user health information.

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2. Scalability:

- The system should be scalable to accommodate a growing user base and increasing data volume.

3. Performance:

- Ensure that the system performs efficiently, with quick response times for user interactions and
data retrieval.

4. Reliability:

- The system should be highly reliable, minimizing downtime and ensuring continuous access to
critical features.

5. Usability:

- The user interface should be intuitive, making it easy for users to navigate and utilize the system's
features.

6. Compatibility:

- Ensure compatibility with a variety of devices and browsers to reach a broad user base.

7. Monitoring and Logging:

- Implement monitoring tools and logging mechanisms to track system usage, identify issues, and
perform system audits.

4.2 SOFTWARE REQUIREMENTS:

 Operating System : Windows 11
 Application Server : Tomcat 7.0
 Front End : HTML ,CSS, React JS
 Scripts : JavaScript(ES6+)
 Backend Language : Java
 Database : MySQL 6.0
 IDE : IntelliJ

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4.3 HARDWARE REQUIREMENTS:

 Processor : Intel i5 (10th Gen or higher)
 RAM : 16GB
 Hard Disk : 512 GB

4.5 Architecture:

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5. SYSTEM DESIGN

5.1 Introduction of Input Design:

In an information system, input is the raw data that is processed to produce output. During the input
design, the developers must consider the input devices such as PC, MICR, OMR, etc.

Therefore, the quality of system input determines the quality of system output. Well-designed input
forms and screens have following properties −

 It should serve specific purpose effectively such as storing, recording, and retrieving the
information.

 It ensures proper completion with accuracy.

 It should be easy to fill and straightforward.

 It should focus on user’s attention, consistency, and simplicity.

 All these objectives are obtained using the knowledge of basic design principles regarding −

o What are the inputs needed for the system?

o How end users respond to different elements of forms and screens.

Objectives for Input Design:

The objectives of input design are −

 To design data entry and input procedures

 To reduce input volume

 To design source documents for data capture or devise other data capture methods

 To design input data records, data entry screens, user interface screens, etc.

 To use validation checks and develop effective input controls.

Output Design:

The design of output is the most important task of any system. During output design, developers
identify the type of outputs needed, and consider the necessary output controls and prototype report
layouts.

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Objectives of Output Design:

The objectives of input design are:

 To develop output design that serves the intended purpose and eliminates the production of
unwanted output.

 To develop the output design that meets the end user’s requirements.

 To deliver the appropriate quantity of output.

 To form the output in appropriate format and direct it to the right person.

 To make the output available on time for making good decisions.

5.2 UML Diagrams:

5.2.1 Use Case Diagram:

A use case diagram in the Unified Modeling Language (UML) is a type of behavioral diagram
defined by and created from a Use-case analysis. Its purpose is to present a graphical overview of the
functionality provided by a system in terms of actors, their goals (represented as use cases), and any
dependencies between those use cases. The main purpose of a use case diagram is to show what
system functions are performed for which actor. Roles of the actors in the system can be depicted.

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

5.2.2 Class Diagram:

In software engineering, a class diagram in the Unified Modelling Language (UML) is a type of
static structure diagram that describes the structure of a system by showing the system's classes, their
attributes, operations (or methods), and the relationships among the classes. It explains which class
contains information.

5.2.3 Sequence Diagram:

A sequence diagram in Unified Modelling Language (UML) is a kind of interaction diagram

that shows how processes operate with one another and in what order. It is a construct of a Message
Sequence Chart. Sequence diagrams are sometimes called event diagrams, event scenarios, and
timing diagrams.

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5.2.4 Collaboration Diagram:

In collaboration diagram the method call sequence is indicated by some numbering technique as
shown below. The number indicates how the methods are called one after another. We have taken the
same order management system to describe the collaboration diagram. The method calls are similar
to that of a sequence diagram. But the difference is that the sequence diagram does not describe the
object organization whereas the collaboration diagram shows the object organization.

5.2.5 Deployment Diagram

Deployment diagram represents the deployment view of a system. It is related to the component
diagram. Because the components are deployed using the deployment diagrams. A deployment
diagram consists of nodes. Nodes are nothing but physical hardware’s used to deploy the application.

5.2.6 Activity Diagram:

Activity diagrams are graphical representations of workflows of stepwise activities and actions with
support for choice, iteration and concurrency. In the Unified Modelling Language, activity diagrams
can be used to describe the business and operational step-by-step workflows of components in a

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system. An activity diagram shows the overall flow of control.

5.2.7 Component Diagram:

A component diagram, also known as a UML component diagram, describes the organization and
wiring of the physical components in a system. Component diagrams are often drawn to help model
implementation details and double-check that every aspect of the system's required functions is
covered by planned development.

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5.2.8 ER Diagram:
An Entity–relationship model (ER model) describes the structure of a database with the help of a
diagram, which is known as Entity Relationship Diagram (ER Diagram). An ER model is a design or
blueprint of a database that can later be implemented as a database. The main components of E-R
model are: entity set and
relationship set.
An ER diagram shows the relationship among entity sets. An entity set is a group of similar entities
and these entities can have attributes. In terms of DBMS, an entity is a table or attribute of a table in
database, so by showing relationship among tables and their attributes, ER diagram shows the
complete logical structure of a database. Let’s have a look at a simple ER diagram to understand this
concept.

5.3 DFD Diagram:

A Data Flow Diagram (DFD) is a traditional way to visualize the information flows within a system.
A neat and clear DFD can depict a good amount of the system requirements graphically. It can be
manual, automated, or a combination of both. It shows how information enters and leaves the system,
what changes the information and where information is stored. The purpose of a DFD is to show the
scope and boundaries of a system as a whole. It may be used as a communications tool between a
systems analyst and any person who plays a part in the system that acts as the starting point for

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redesigning a system.

Level 1 Diagram:

Level 2 Diagram:

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6. IMPLEMENTATION AND RESULTS

6.1 Modules:

ADMIN:
Login: Admin will login to his application by using default credentials.
Manage Food: Admin will add food and view them.
Manage Exercise: Admin will add exercise and view them.
Logout: Admin Must Logout.

USER:
Register: User will register into this application by using his details.
Login: User will login into the application using his details.
View Recommendations: User can view the recommended food and exercise.
Saved Recommendations: User can the save the recommended he likes.
Tracking: User can track his food and exercise.
Charts: User can view his tracking in bar graphs.
Logout: User Must Logout.

6.2 Results: Home Page

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

Admin Login:

Manage Food :

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

Manage Exercise:

LOGIN:

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

REGISTRATION:

PROFILE PAGE:

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

RECOMMENDATION:

TRACKING:

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

CHARTS:

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

7. SYSTEM STUDY AND TESTING

7.1 Feasibility Study

The feasibility of the project is analysed in this phase and business proposal is put forth with a very
general plan for the project and some cost estimates. During system analysis the feasibility study of
the proposed system is to be carried out. This is to ensure that the proposed system is not a burden to
the company. For feasibility analysis, some understanding of the major requirements for the system
is essential.

Three key considerations involved in the feasibility analysis are

 Economic feasibility
 Technical feasibility
 Social feasibility

Economical Feasibility

This study is carried out to check the economic impact that the system will have on the organization.
The amount of fund that the company can pour into the research and development of the system is
limited. The expenditures must be justified. Thus the developed system as well within the budget and
this was achieved because most of the technologies used are freely available. Only the customized
products had to be purchased.

Technical Feasibility

This study is carried out to check the technical feasibility, that is, the technical requirements of the
system. Any system developed must not have a high demand on the available technical resources.
This will lead to high demands on the available technical resources. This will lead to high demands
being placed on the client. The developed system must have a modest requirement, as only minimal
or null changes are required for implementing this system.

Social Feasibility

The aspect of study is to check the level of acceptance of the system by the user. This includes the
process of training the user to use the system efficiently. The user must not feel threatened by the

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system, instead must accept it as a necessity. The level of acceptance by the users solely depends on
the methods that are employed to educate the user about the system and to make him familiar with it.
His level of confidence must be raised so that he is also able to make some constructive criticism,
which is welcomed, as he is the final user of the system.

System Testing

The purpose of testing is to discover errors. Testing is the process of trying to discover every
conceivable fault or weakness in a work product. It provides a way to check the functionality of
components, sub-assemblies, assemblies andor a finished product It is the process of exercising
software with the intent of ensuring that the

Software system meets its requirements and user expectations and does not fail in an unacceptable
manner. There are various types of test. Each test type addresses a specific testing requirement.

7.2 Types of Tests:

7.2.1 Unit testing

Unit testing involves the design of test cases that validate that the internal program logic is
functioning properly, and that program inputs produce valid outputs. All decision branches and
internal code flow should be validated. It is the testing of individual software units of the application
.it is done after the completion of an individual unit before integration. This is a structural testing,
that relies on knowledge of its construction and is invasive. Unit tests perform basic tests at
component level and test a specific business process, application, andor system configuration. Unit
tests ensure that each unique path of a business process performs accurately to the documented
specifications and contains clearly defined inputs and expected results.

7.2.2 Integration testing

Integration tests are designed to test integrated software components to determine if they actually run
as one program. Testing is event driven and is more concerned with the basic outcome of screens or
fields. Integration tests demonstrate that although the components were individually satisfaction, as
shown by successfully unit testing, the combination of components is correct and consistent.
Integration testing is specifically aimed at exposing the problems that arise from the combination of
components.Software integration testing is the incremental integration testing of two or more
integrated software components on a single platform to produce failures caused by interface defects.

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The task of the integration test is to check that components or software applications, e.g. components
in a software system or – one step up – software applications at the company level – interact without
error.

Test Results: All the test cases mentioned above passed successfully. No defects encountered.

Acceptance Testing

User Acceptance Testing is a critical phase of any project and requires significant participation by
the end user. It also ensures that the system meets the functional requirements.

Test Results: All the test cases mentioned above passed successfully. No defects encountered.

7.2.3 Functional testing

Functional tests provide systematic demonstrations that functions tested are available as specified by
the business and technical requirements, system documentation, and user manuals.

Functional testing is centered on the following items:

Valid Input : Identified classes of valid input must be accepted.

Invalid Input : Identified classes of invalid input must be rejected.

Functions : Identified functions must be exercised.

Output : Identified classes of application outputs must be exercised.

Systems Procedures: Interfacing systems or procedures must be invoked.

Organization and preparation of functional tests is focused on requirements, key functions, or special
test cases. In addition, systematic coverage pertaining to identify Business process flows; data fields,
predefined processes, and successive processes must be considered for testing. Before functional
testing is complete, additional tests are identified and the effective value of current tests is
determined.

7.2.4 White Box Testing

White Box Testing is a testing in which in which the software tester has knowledge of the inner
workings, structure and language of the software, or at least its purpose. It is purpose. It is used to

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test areas that cannot be reached from a black box level.

7.2.5 Black Box Testing

Black Box Testing is testing the software without any knowledge of the inner workings, structure or
language of the module being tested. Black box tests, as most other kinds of tests, must be written
from a definitive source document, such as specification or requirements document, such as
specification or requirements document. It is a testing in which the software under test is treated, as a
black box .you cannot “see” into it. The test provides inputs and responds to outputs without
considering how the software works.

Test objectives

 All field entries must work properly.

 Pages must be activated from the identified link.

 The entry screen, messages and responses must not be delayed.

Features to be tested

 Verify that the entries are of the correct format

 No duplicate entries should be allowed

 All links should take the user to the correct page.

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7.3 TEST CASES:

Admin log in using credentials successfully.

When an unregistered user tries to log in..

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Existing user logging in....successfully

User getting results on his search

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7. CONCLUSION

In conclusion, the integration of health care tracking and recommendation systems marks a
pivotal advancement in healthcare technology. By harnessing data-driven insights, these systems
empower individuals to proactively manage their well-being. Real-time monitoring and
personalized recommendations enhance preventive care, ultimately reducing healthcare costs and
improving overall health outcomes. The synergy between technology and healthcare not only
fosters a more informed and engaged patient population but also augments the efficiency of
healthcare providers. Embracing this innovation paves the way for a healthier, more connected
future in the realm of healthcare.

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8. FUTURE ENHANCEMENT

Future Enhancement: Implementing advanced artificial intelligence algorithms to analyze real-time

health data and provide personalized recommendations. This enhancement aims to leverage machine
learning models to predict potential health risks, suggest preventive measures, and optimize
individualized treatment plans. The system will continuously adapt and learn from user inputs,
medical records, and emerging healthcare research to offer increasingly accurate and tailored health
insights. This dynamic approach ensures an evolving and responsive healthcare tracking and
recommendation system, enhancing user well-being and promoting proactive health management.

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9. REFERENCES

[1]. Smith, J. A. (2019). Leveraging wearable technology for health monitoring.

[2]. Johnson, R. L. (2020). Healthcare Analytics: Data-Driven Decision Making in Modern
Hospitals.
[3]. Rodriguez, M. B. (2018). Artificial Intelligence in Healthcare: A Comprehensive Review.
Journal of Medical Systems, 42(11), 1-12.

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11. APPENDIX

CLIENT SIDE CODE

index.html

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" >
<title>Frontend<title>
<base href="" >
<meta name="viewport" content="width=device-width, initial-scale=1" >
<link href="https:cdn.jsdelivr.netnpmbootstrap@5.3.2distcssbootstrap.min.css" rel="stylesheet" >
<link rel="stylesheet" href="https:cdnjs.cloudflare.comajaxlibsfont-awesome6.4.2cssall.min.css"
>
<head>
<body>
<app-root><app-root>
<script src="https:cdn.jsdelivr.netnpmbootstrap@5.3.2distjsbootstrap.bundle.min.js"><script>
<body>
<html>

main.ts

import { bootstrapApplication } from '@angularplatform-browser';

import { appConfig } from '.appapp.config';
import { AppComponent } from '.appapp.component';

bootstrapApplication(AppComponent, appConfig)
.catch(err => console.error(err));

login.component.ts (User Login)

import { Component } from '@angularcore';

import { FormGroup, FormControl, Validators } from '@angularforms';
import { Router } from '@angularrouter';

@Component({
selector: 'app-login',
templateUrl: '.login.component.html',
styleUrls: ['.login.component.css']
})
export class LoginComponent {
submitted = false;
loginForm = new FormGroup({
email: new FormControl('', [Validators.required, Validators.email]),
password: new FormControl('', [Validators.required])

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});

constructor(private router: Router) {}

onSubmit() {
this.submitted = true;
if (this.loginForm.valid) {
this.router.navigate(['dashboard']);
}
}
}

login.component.html

<form [formGroup]="loginForm" (ngSubmit)="onSubmit()">

<label>Email<label>
<input type="email" formControlName="email" >
<label>Password<label>
<input type="password" formControlName="password" >
<button type="submit">Login<button>
<form>

app.module.ts

import { NgModule } from '@angularcore';

import { BrowserModule } from '@angularplatform-browser';
import { ReactiveFormsModule } from '@angularforms';
import { AppComponent } from '.app.component';
import { LoginComponent } from '.pagesloginlogin.component';

@NgModule({
declarations: [AppComponent, LoginComponent],
imports: [BrowserModule, ReactiveFormsModule],
bootstrap: [AppComponent]
})
export class AppModule {}

styles.css

.card {
box-shadow: 0px 0px 8px 0 rgba(0, 0, 0, 0.2);
}
label span {
color: red;
}

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SERVER SIDE CODE (Spring Boot - Key Files)

Application.java

@SpringBootApplication
public class HealthcareApp {
public static void main(String[] args) {
SpringApplication.run(HealthcareApp.class, args);
}
}

UserController.java

@RestController
@RequestMapping("apiuser")
public class UserController {

@Autowired
private UserService userService;

@PostMapping("register")
public ResponseEntity<?> register(@RequestBody User user) {
return ResponseEntity.ok(userService.registerUser(user));
}

@PostMapping("login")
public ResponseEntity<?> login(@RequestBody LoginRequest request) {
return userService.validateLogin(request);
}
}

FoodRecommendationController.java

@RestController
@RequestMapping("apirecommendations")
public class RecommendationController {

@GetMapping("{userId}")
public List<FoodItem> getRecommendations(@PathVariable Long userId) {
return recommendationService.getPersonalizedRecommendations(userId);
}
}

UserService.java

@Service

public class UserService {

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

public User registerUser(User user) {

save user logic

return userRepository.save(user);

public ResponseEntity<?> validateLogin(LoginRequest request) {

authentication logic
return ResponseEntity.ok("Login successful");
}
}

DATABASE MODELS (Spring Boot – Entity Classes)

User.java

@Entity
@Table(name = "users")
public class User {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;

private String name;

private String email;
private String password;
private String role;

Getters and Setters

}

HealthRecord.java

@Entity
@Table(name = "health_records")
public class HealthRecord {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;

private String condition;

private String medication;
private String allergies;

@ManyToOne
private User user;

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

Getters and Setters

}

FoodItem.java

@Entity
@Table(name = "food_items")
public class FoodItem {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;

private String name;

private String category;
private String benefits;

Getters and Setters

}

REPOSITORY LAYER

UserRepository.java

public interface UserRepository extends JpaRepository<User, Long> {

Optional<User> findByEmail(String email);
}

HealthRecordRepository.java

public interface HealthRecordRepository extends JpaRepository<HealthRecord, Long> {

List<HealthRecord> findByUserId(Long userId);
}

FoodItemRepository.java

public interface FoodItemRepository extends JpaRepository<FoodItem, Long> {}

ANGULAR SERVICES (CLIENT SIDE)

auth.service.ts

@Injectable({

providedIn: 'root'

})

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

export class AuthService {

constructor(private http: HttpClient) {}

login(credentials: any) {
return this.http.post('apiuserlogin', credentials);
}

register(data: any) {
return this.http.post('apiuserregister', data);
}

recommendation.service.ts

@Injectable({
providedIn: 'root'
})
export class RecommendationService {
constructor(private http: HttpClient) {}

getRecommendations(userId: number) {
return this.http.get(`apirecommendations${userId}`);
}
}

UTILITY CLASSES
LoginRequest.java

public class LoginRequest {

private String email;
private String password;

Getters and Setters

}

JwtUtil.java (If using JWT for login – optional)

@Component
public class JwtUtil {
private String secret = "secretKey";

public String generateToken(String username) {

return Jwts.builder().setSubject(username)

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 HEALTH RECOMMENDATION AND TRACKING SYSTEM

.setIssuedAt(new Date())

.setExpiration(new Date(System.currentTimeMillis() + 86400000))

.signWith(SignatureAlgorithm.HS256, secret).compact();
}
}

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 HEALTH RECOMMENDATION AND TRACKING SYTEM

12. BIO DATA

NAME ADDRESS CONTACT PHOTO

NUMBER EMAIL ID

S/O S. IBRAHIM
PRODDATUR
9542551687
SHAIK MOHAMMAD ASHFAQ shaikmohammadashfaq7@gmail.com

S/O S.K.SHABBIRHUSSAIIN
PRODDATUR
SHAIK KAPPACHA 7993801191
MOHAMMAD ZUHER shaikkappachazuher@gmail.com

S/O S. MD. GHOUSE

PRODDATUR
6304172156
SHAIK MAHAMMAD smdadil156@gmail.com
ADIL

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 HEALTH RECOMMENDATION AND TRACKING SYTEM

S/O: J Chinna Venkatesh

KURNOOL 7386992158
JAKKALA Jakkalakoulutlaiah@gmail.com
KOULUTLAIAH

S/O S. T. ISMAIL
PRODDATUR
8106622195
SHAIK TAPPA shaiktappaabdulla12@gmail.com
ABDULLA

49