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Aayush Shrivastava

@aayushbest

Technology Enthausiast

Technology Enthausiast

Deep Learning
Backend
Blockchain Technology
Skill iconAndroid Developement
Frontend

HMI Precision Software Engineer, CNH Industrial

Jabalpur, India

Devfolio stats

Devfolio stats

1

project

1

0

prizes

0

20

hackathons

20

0

Hackathons org.

0

GitHub

GitHub

44

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0

stars earned

32

repositories

5

followers

View on GitHub

Work Experience

Work Experience

A

ACOM Asian Resources Pte. Ltd.

AI And Middleware Engineer

A

C

S

T

A

AI And Middleware Engineer

ACOM Asian Resources Pte. Ltd.,

C

HMI Precision Software Engineer

CNH Industrial,

S

Software Design Engineer

Schneider Electric India,

T

Robotic Process Automation Developer

Tyson Foods,

S

Internship

Schneider Electric,

P

Internship

Persistent Systems,

Top Projects

Top Projects

T

Treatment Chain

The decentralized blockchain based solution to record Electronic Medical Record of patient as blocks from various hospitals and maintaining privacya and anonmymity, AI is used for research using block

This problem will help to accelerate the research on all known and unknown disease to find the cure for various medical institute. The major purpose behind the project creation is to contribute the problem of COVID-19 pandemic. Using the blockchain to record the patient Electronic Medical Record as transactions while maintaining privacy and anonymity of Patient,Hospitals and Research institute. These transaction will be have certain intelligent validations. There will be incentives for participating in the network and generating electronic medical records(Blocks). Then the Research Institute will able to apply the Machine Learning Models on various diseases by collecting on those blocks which they need.Research Institute dont need to store every record on longest chain. The above approach solves a lot of various problems like medical quality, how much expense for certain disease as well as the it is the patient centric approach maintaining the privacy of the patient at the same time.