Health Care systems using machine learning algorithms
Content
General description of the project
Used technologies
Implementation of web-API
Economic estimations
Success criteria
1.21M
Category: electronicselectronics

Health Care systems using machine learning algorithms

1. Health Care systems using machine learning algorithms

Done by: Alimbayeva Z.K.
Supervisor: Yakunin K.O.

2. Content

• General description of the project
• Used technologies
• Implementation of web-API
• Project results
• Economic estimations
• Success criteria

3. General description of the project

Goal:
Development
of
client-server
application which is intended for health care.
Objectives: Create a MVP of project as
client-server application on Django and IOS
platform.
The societal vision: Creation of a application
that will help in monitoring of well-being a
person and give a predict value about
personal data.
Solved problems: Storage, access and
visualization of medical data, and analysis
and design of expert recommendation
systems for decision making using machine
learning algorithms and time series analysis.

4.

HealthAgent
Human resource:
-Team member:
Kazhenbayeva Gulnaz(IOS-developer)
Alimbayeva Zarina(back-end developer)
-mentors:
KBTU teachers

5. Used technologies

6. Implementation of web-API

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12. Economic estimations

Profitability Index
1.43
Revenue
8 136 000 (KZT)
Payback Period
0.7
Profit
2 443 640 (KZT)
Cost
5 692 360 (KZT)
tangible
income
• notification advertisements
• premium version 1650(KZT)
Sources of
income

13. Success criteria

Profitability Index = 43%
In market has no competitors
Has a big opportunities for changing health care
sphere
Originality and relevance in today
Users get a motivation lead a healthy lifestyle

14.

Thank you for a attention!!!
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