whenever we use a diabetes checking machine it always takes blood from our body which may be very less which also gives pain to us while doing it so we have developed from that inspiration this one so the person will only has to blow the air from his mouth …and that's it the readings of blood sugar levels, diabetes, etc will come
What it does
It checks the blood sugar levels, diabetes level just from the blown air of the mouth from acetone level sensing..... If we see the biology behind it, in Pancreas insulin is formed, when the level of insulin is decreased it indicates the symptoms of diabetics. As the result of decrease in insulin it directly effects the fat cells which gets converted into ketone bodies in the liver. This process is known as Ketogenesis. As the result the acetone level in blood cells is increased. So, we can measure the glucose level through acetone present in our breath which will help us detect diabetes without taking out blood.
How we built it
The human breath contains several hundred VOCs with concentrations ranging from part-per-trillion (ppt) to part-per-million (ppm). The acetone concentration in the breath varies from 300 to 900 ppm in healthy people to more than 1800 ppm in individuals with diabetes. In Pancreas insulin is formed, when the level of insulin is decreased it indicates the symptoms of diabetics. As the result of decrease in insulin it directly effects the fat cells which gets converted into ketone bodies in the liver. This process is known as Ketogenesis. As the result the acetone level in blood cells is increased. So, we can measure the glucose level through acetone present in our breath. So first we connected our Arduino to the acetone sensor and to I2C lead module for display and then with help of serial usb app we connected those to our app made by using android studio that's glutor app....Here we also made our connections of the app to the aws cloud service including lambda, appsync, API gateway, S3 storage services for effective deployment and faster management system in future...
Challenges we ran into
we ran into challenges like data processing , data sheets and calculating the reports for user as we are the first ones to built this so no previous reports were there so those data sheets needed to be calculate properly which we are doing continuously to bring to action also when were deploying it to aws the dynamodb part of intricating with real time data from app was a bit challenging.
Accomplishments that we're proud of
we successfully did the research on acetone research papers and we found out this was a very unique idea which we found out
What we learned
we learned many things like the acetone level sensing from mouth and integrating with cloud to deploy it and also the 3d modelling with designing of hardware prototypes etc.
What's next for Glutor
we are deciding to grow it to a big company and help as many people as possible with this kind of market evaluation... adding more health detection systems other than diabetes adding of ML in the project so it will auto analyze the reports and become and give more accurate results next.