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INDIRA COLLEGE OF COMMERCE AND SCIENCE

PUNE (MAHARASTRA) -

Synopsis of Project

Smart Health Advisory System

Project By,
Name of students with Roll No

“Bachelor of Business Administration in Computer Application”


(BBA-CA)
2023-2024
Index
Sr.No Topic Page No
1 Introduction 1

2 Overview of Project 1-2

3 Objective
4 1) Existing System
2) Proposed System

5 Modules of Project

6 Requirement

a) Operating System:

b) Software:
1) Technology Implemented
2) Database Used
3) Browser
4) Web Server

c) Hardware:
1) Processor Name:
2) Processor Speed:
3) RAM:
4) Hard Disk Capacity:

7 Future Enhancement

8 Reference

1) INTRODUCTION :-
PROBLEM STATEMENT:
 In India, near about 20% of the total population loses their lives due to
interrupted health monitoring i.e. in most of the hospitals, doctor visits
patients either in morning shift or in evening shift or maybe, in both shifts.
 However, Patient's health can become critical in between that interval and
such scenario can unfortunately put patient’s life at stake.
 Health care is also important at rural areas or villages where people need to
travel to distant hospitals in order to get informed of their health condition.
 Hence, designing a Smart health monitoring system that can monitor the
health parameters of the patients and also alerts the doctor/caretaker
whenever critical heart rate or body temperature is observed is a necessity.

NEED OF THE SYSTEM:


 India confronting an issue of absence of Doctors, from the most recent
report of the Medical Council of India (MCI).
 In that 10.4 lakh, the 80% of specialists presently serves the patient at same
time. It is 8.32 lakh specialists may be truly available for dynamic support to
patient. In India specialists and patient proportion is around 1:1580 at odds
with the World Health Organization standard of 1:1000.
 The 60,000 doctors and 28,000 post graduation doctors are moved on from
different colleges once a year. There are around 11.65 lakh medical
caretakers enlisted in Nursing Council of India. In that just 42% are in
dynamic service.
 As per the suggests an attendant patient proportion of 1:1 in intensive care
unit, 1:3 in the general care unit and 1:6 in the emergency ward. On the off
chance 45 nurses are require for the every 15 patient, as 15 will work in
every shift. You additionally require 30% leave save.
 This is the reason there is an immense deficiency of medical attendants. We
require double the current number of nursing experts to adjust the
diminishing patient-nurture proportion.
 In this way, it is clear there is just a single doctor for 2000 patients and
requires twofold sum paramedical staff for present existing staff. It is
impractical to rise to the patient and specialist proportion and multiplying
the paramedical staff.
 Smart Health Monitoring System through IoT approach is utilized to decrease the
endeavours of the doctors and paramedical staff. This strategy is likewise comfort for
the patient since it lessens the enormous hardware, which presently utilized as a part of
ICU's.

2. Overview Of Project :-

 An Smart (E) Health Advisory System provides an online way of solving the
medical problems faced by the public by saving time and eradicate
corruption.
 The Objective of the complaints Management system is to make complaints
easier to coordinate, monitor, track and resolve and to provide
Government with an effective tool to identify and target problem areas,
monitor complaints handling performance and make improvements.
 It is a management technique for accessing, analysing and responding to
public complaints.
 It is used to record and respond to public complaints as well as facilitate
any other feedback.
 The main purpose of this project is to help the public in knowing their place
details and getting their problems solved in online without going to the
officer regularly until the problem is solved.

3. Objectives :-
The objectives of the Smart Health Advisory System are :

1) To make complaints easier to coordinate, monitor, track and resolve.

2) Prompt and Specific retrieval of data.

3) To provide Government with an effective tool to identify and target problem


areas, monitor complaints handling performance.

4) Flexibility in the system according to the changing environment .

5) Controlling redundancy in storing the same data multiple times.

6) Accuracy, timeliness and comprehensiveness of the system output.

7) Stability and operability by people of average intelligence.

8) Enhancement in the completion of work within the constraints of time.

9) To distribute related complaints among different departments.


4. Modules Of Project :-
● There are mainly 2 modules in this project :

A) User Module :
▪ Sub Modules –

1) User Registration Module

2) User Log In Module

3) Change Password Module

4) Forgot Password Module

B) staff Module :
▪ Sub Module –

1) Admin Log In Module

2) Change Password Module

3) Forgot Password Module

5) Admin Log Out Module

C) admin Module :
▪ Sub Module –

1) Admin Log In Module

2) Change Password Module

3) Forgot Password Module

7) Admin Log Out Module


5. Requirements :-
a) Operating System :

Microsoft Windows 10

b) Software Requirements :

1) Technology Implemented – HTML, CSS, JavaScript, PHP,

2) Database Used – MySQL

3) Browser – Chrome

4) Web Server - Wamp

c) Hardware Requirements :

1) Processor Name –
2) Processor Speed –

3) RAM –

4) Hard Disk Capacity –

7. CONCLUSION
In this paper, we have proposed and implemented a Smart Health Monitoring
System. It is working successfully. Through this system, Doctors can screen the
patient's condition without the need of being in patient’s vicinity all the time. By
using biomedical sensors, we have monitored patient’s data viz. temperature and
heart beat rate. This data is further uploaded on the ThingSpeak server. From the
server, the data is converted into JSON and any abrupt changes occurring in
patient's health status is notified to the concerned Doctor or Paramedical staff
through an SMS which is automatically sent by the system. For future work, we
can increase the functionality of system by adding more biomedical sensors and by
making our system readings more accurate.

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