Lunstafer

Future of medicare

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Inspiration

​Whenever we use a lung cancer checking machine(invasive) it always takes blood from our body or another required things which may be very less which also gives pain to us(specially to babies if they are having lung cancer) with delayed time reports and very high cost of checking and detection of lung cancer so we have developed from that inspiration of this, so the person will only has to blow the air from his mouth …and that's it the readings of lung cancer and details will come irrespective of any age the details will come in our android app. ​Also, to reduce the radiation exposure to body while testing this small step will remove even that slightest exposure also. This is the future of Medicare and healthcare where we will not use a single fluid from body to check which is we are making a non invasive pulmocarbtor. Also, seeing the recent counting from WHO about 3.8 million cases of lung cancer as amongst 1.86 million deaths per year. So, with the concept of our early detection and cheap cost effective device we want to make this world a better place to live in and promote healthy and healthcare lives around the world also solving. Also, almost all of the UN 16 SDG goals are related to health or their achievement will contribute to health indirectly and our device will give and follow also focus (SDG 3): which is ‘Ensure healthy lives and promote well-being for all at all ages’ and completely matching out the instances.​​

The benzene concentration in the breath varies from certain level to certain level from people to individuals with lung cancer. In our body various biochemical process goes on, our intake food is oxidized gets converted into energy that is required in our body to growth and development. Along with energy various by product also produce in the biochemical reaction. For a healthy person the byproduct are excreted from body in the form of urine ,breath, sweat etc & breath byproduct concentration are same. But in some case of dieses the concentration is varies because of the alteration in biochemical process. Similarly in the lung cancer patient the concentration of benzene is high as compared to healthy individual.

What it does

​We have our solution based on IoT automation and wireless sensor devices with technology of breath involvement for calculation of results on chemical composition. Also with the help of public cloud and app development techniques we sync the reports of the device and user instantly. We also will include AI/Ml into it so that it will be going to learn from the records previously and suggests a better feedback to us. It checks the lung cancer levels just from the blown air of the mouth from benzene level sensing..... After the blow all the data processing is done and then reports are shown within 1 minute of time and synced with databases.

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 human breath contains several hundred VOCs with concentrations ranging from part- per-trillion (ppt) to part-per-million (ppm). The human breath was first analysed by Pauling in 1971 using gas chromatography and around 250 different gases were identified. The benzene concentration in the breath varies from 100 to 500 ppm in healthy people to more than that in individuals with lung cancer.

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. Along with the hardware, we have made an android application where the user can store his/her daily measured data and can have support. The application has its own server maintained using Google Firebase for password authentication and login related data. Each user can create their own account in the application itself and can check his daily, weekly or monthly reports. The user must enter his glucose level as shown from the device in the application. Health support and good practices can also be seen in the app. We also connected Thingspeak IOT to collect the sensors data efficiently and send it to cloud and update in the app We also used many AWS services to make the flow and latency time lesser

AWS S3 - AUTO UPLOAD IMAGES TO CLOUD.WHEN THE REPORTS OR ANYTHING WILL BE DONE THE RESULTANT IMAGES WILL BE STORED IN S3 AWS DYNAMODB - FOR KEEPING DATABASES AND WHENEVER THE USER WANTS TO SEE THEM CAN ACCESS IT THROUGH THIS.. AWS LAMBDA & FARGATE - FOR SERVERLESS & SOFT & FAST MANAGEMENT SO THAT WE CAN DEPLOY THIS APP & WEBSITE ALL GLOBALLY WITH NO MANAGING TENSIONS WITH MINIMAL LATENCY AWS API - TO MAINTAIN BEST API SERVICE TO DEVELOPERS AND GIVE OPTION FOR ALL USERS TO USE API SERVICE AND ALSO WITH OUR WEBSITE TO WORK UPON

In the advantages of using this idea or product :

Low cost and low power device. Small in size and thus making is portable. Can be used by anyone, be used multiple times. No or less accessories User-friendly Comes with an android application for cancer level monitoring and controlling Regular reminders and measures according to the lung cancer levels Non-contact in nature to avoid any possible corruptions.

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 a reading on benzene research papers and we found out this was a very unique idea which we found out and it may be the huge startup idea to be built upon with very less amount of cost and harm to people and environment with reduced medical wastage.

What we learned

we learned many things like the acetone level sensing from mouth and integrating with cloud to deploy it and with using so much less things we can solve a huge solution in for the world

What's next for Non-invasive Pulmocarbtor

we are deciding to grow it to a startup if possible 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.

Can be used to control and maintain the cancer level. Can be used for lung functionality, health of heart etc. Can be used in medical facilities for quick and painless diagnosis Can be used to contact local/national doctors/specialists

We will be also looking to develop this not only for cancer detection but many other diseases like diabetes, breast cancer, etc.

We will be also looking to use AWS extensively after this to make it good and fast time error efficient reports.

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