REAL TIME NEUROLOGICAL DISORDER DETECTION USING IOT & AI-ML

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  Phase 1

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  Phase 2

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  Phase 3

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  Segment 1 (1st Process)

Inspiration

It all started when I was doing my 10th grade where I was able to present a simple Hardware Component of Heart Rate Monitor which soon became a (Proof of Concept). In the following year 2019 the pandemic had started in which the doctors had to directly meet the patients in-order to get their medical report which was not a healthy process as it was contagious disease, what I though was like why couldn't we introduce a WIFI concept in the health care centers in which the doctors could be in a separate space and the patients could be in a separate ward , all the necessary details of the patients could be directly transferred to the nearby doctors or healthcare centers...

What it does

To detect Neurological Disorder Detection using Digital Enabled Heart Rate, Blood Oxygen Level, Sugar Level Monitor Introduced with WIFI using IOT with AI-ML implementation. (AI-ML has been later introduced in our concept to store a patient's details, process it, analyze and finally predict the disorder with various HRV Algorithms). It's difficult for a doctor to recognize all the patients status whom he has judged...Simple every patient will be provided with a "Info Card" in which when a patient visits the doctor all the details of the patient will stored and his medical analysis will be systematically and manually processed and is later stored within that cards...Next time when the patient gets to visit the doctor and when his Info card has been read all his previous status will be automatically shared to the analyst whom he is been surveyed.

How we built it

Arduino board is used to power supply, IR sensors for sensing the movement of blood, OP amplifiers (LM324), Encoders and Decoders, Embedded C programming chip and AI-ML implementation.

Challenges we ran into

Conversion of power supply, Managing of signals and Conversions of the signals to digital format using Embedded C programming, Working more on Heart Rate Value (HRV) Algorithms, Carrying out the static voltage throughout the process.

Accomplishments that we're proud of

We are proud to say that we have worked on this concept as we got to learn more and grow more on the social world and got felicitated in various National Level Hackathons at various Institutions.

ACHIEVEMENTS:

1. Placed first and won Best Pitch award in PSY-CHORE a two days Hackathon organised by the Department of Artificial Intelligence and Data Science In association with WENZHOU-KEAN UNIVERSITY, CHINA.
2. Runner up in the India Startup Event. 3.Actively participated and finalist in the National Level Technical Symposium held at Sri Krishna College of Engineering and Technology. 4.Runner up in the project exhibition and best paper presented in the ERSMERONZ Hackathon a National Level Technical Symposium held at Bannari Amman Institute of Technology. 5.Dual victory placed first in Paper Presentation and Project Presentation at SPECTRA 2K23 a National Level Technical Symposium in association with EKTA held at KGISL Institute of Technology. 6.Secured first in the Project Expo-2K23 organized on account of National Science Day . 7.Awarded with best hardware model presented for the day 2023.

What we learned

From the time the idea has been generated till the time it is implemented we are still learning and growing more on smart city conceptualization to provide a better technology to the society.

What's next for REAL TIME NEUROLOGICAL DISORDER DETECTION USING IOT & AI-ML

Startup and implementation of more unexpected features in the idea and concept.

Built With

• arduino
• c
• cardreader
• decoder
• embedded
• encoder
• hardware
• opamp
• rf
• signal