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 for power supply (5V), IR sensors for sensing the movement of blood, OP amplifiers (LM324) to amplify the current, Encoders and Decoders, Embedded C programming chip to convert the signals into digital output and AI-ML implementation to store, analyze and process the patients details and RF cards to carry out paperless process.
Challenges we ran into
From the inception of the idea behind the concept till it was implemented into a Real World Application, it was a challenging phase for us to compete with modern technolgies and components to be organised
Challenges:
- Use of Microcontrollers for the betterment (Arduino boards).
- Consistent maintainance of static volatge (5V) throughout the process.
- Use of Encoders and Decoders. *Transferring and Storing of signals (Signal Processing) *Conversion of Signals to digital format using(Embedded C Programming) chip. *Study on AI-ML for storing, processing-train, analyzing and predicting the required info. *Adding more and more Real Time features to our concept for the betterment.
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:
Winners of the Developers Week Latin America Hackathon.
- Placed first and won Best Pitch award in PSY-CHORE a two days Hackathon organized by the Department of Artificial Intelligence and Data Science In association with WENZHOU-KEAN UNIVERSITY, CHINA. 2.Announced as the National Champions and Southern Regional Champions in the Trident Hacks India's Largest Student Run Hackathon organized by Devfolio. 3.Placed first in the Life-O-Mate Hackathon organized by IIIT Kottayam .
- Runner up in the India Startup Event.
- Actively participated and finalist in the National Level Technical Symposium held at Sri Krishna College of Engineering and Technology.
- 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.
- 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.
- Secured first in the Project Expo-2K23 organized on account of National Science Day .
- 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 constitution and implementation of much more unexpected features in the idea and concept.
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