EchoLite, an innovative initiative spearheaded by Team Asgardians, addresses the formidable communication challenges confronting the deaf community through pioneering technology. Recognizing the profound hurdles faced by deaf individuals in accessing crucial healthcare services due to communication barriers, EchoLite emerges as a beacon of hope. At its core lies Quarky, the prototype hardware designed to serve as the foundation for this transformative endeavor. EchoLite envisions a paradigm shift in the healthcare landscape by eliminating the pervasive communication gap that impedes deaf individuals’ access to essential medical resources. By harnessing state-of-the-art technology, EchoLite aims to seamlessly bridge this divide and foster a more inclusive healthcare environment. Through its innovative approach, EchoLite endeavors to empower deaf individuals with the tools and resources necessary to navigate the healthcare system effectively. Ultimately, EchoLite strives to revolutionize healthcare accessibility, ensuring that deaf individuals receive the support and care they rightfully deserve.
The sentilens is specifically designed and made for the blind, it helps them communicate easily and navigate themselves without any assistance.
These glasses come out in different design, shape and sizes helping our blind friends feel comfortable wearing them. These glasses have two cameras and two speakers attached with the frame, the cameras are attached on both the ends of frame where the speakers are attached at the temple tips of the glasses, these speakers are then attached into the ears and works on batteries. The cameras can detect people, things and even read signs or books, reading books and signs can really help teens and adults to work and study just like normal people.
The sentilens is a way to see the world through hearing, The frames will be custom built according to the person’s needs and face shape.
Our project aims to assist doctors in diagnosing diseases by using machine learning technology. Our project can diagnose three diseases with their X-rays: brain tumor, pneumonia, and kidney tumor. We have trained it with 36,000 X-ray images. It will increase the accuracy of diagnoses as well as help doctors to provide diagnoses faster. We are looking forward to expanding this project by adding more data and increasing the number of diseases it can predict.
To calculate the surrounding temperature and humidity using DHT sensor and result will be displayed in Adafruit.io cloud service dashboard.
The project allows the patient to order medicines right after the consultations. In case of emergency, one can also book ambulance immediately.
The two features of booking an ambulance and ordering medicines right after virtual consultations , in our project makes it different form the other projects.
In future, we are looking forward to add some more diseases and detection of disease with the help of x-rays.
Safety sync is a prototype machine specifically made for
parents who are hard of hearing.By using machine learning, we have taught this robot named quarky to recognise the sound of babies crying.You might ask yourself well,”What is machine learning”? Basically machine learning is when you teach a robot something new using repetition.In this case, quarky has heard the sound of babies crying hundreds if not thousands of times.As soon as quarky hears a baby cry,it uses these LED lights and will say in text that the baby is crying.It can also recognise babies faces(using machine learning)and will tell you on these LED lights wether the baby is crying,about to cry or is happy.If the baby is crying or about to cry is shows a cross symbol,if the baby is happy it shows a heart symbol
Problem involves recognizing the challenges posed by the absence of staff to replace depleted saline solutions for patients during night shifts,which can compromise patient care and safety.
This project is undertaken to ensure continuous and automated replenishment of saline solutions for patients during night hours,minimizing the reliance on human intervention and improving healthcare delivery in scenarios where immediate attention might not be available.
The ultrasonic sensor constantly monitors the saline levels in patient containers.When the sensor detects low levels,Arduino activates the relay,which in turn starts the pump motor.The pump motor dispenses the required amount of saline into the patient containers.The buzzer provides alerts,signalling when the replenishment is successful or if there are any issues.
This automated saline replenishment system tackles the challenge of unattended patient care during night hours.It ensures the continuous and autonomous replenishment of saline solutions, reducing the dependency on human intervention and enhancing patient safety and care.
Custodian is designed to help elders instead of Caretaker. It reminds them to eat on time, take medicines on time and various daily routines
My project Pictoblox is based on outdoor games. The game is very famous in the world, it is Soccer. Soccer game consists of three sprits, they are two players and one soccer ball. For each sprit, we should write a code. I have used all type of blocks for creating the soccer game. The blocks which I have used are Motions, sounds, operators, variable, events, control and looks.
I enjoy doing Pictoblox. In our school, the teachers take us to the computer lab once in a week. There I always be excited to do the lab activities, try to create new blocks, new games and create codes for Quarky. I will be interactive with my teacher in the class and very enthusiastic to learn new things in the class.
Using barcodes to explain a patient’s condition, especially in chronic cases, can facilitate healthcare delivery. When the camera scans the barcode, the patient’s details and medical history will be displayed, allowing medical professionals to quickly determine the appropriate treatment or necessary surgery if needed, reducing time and improving diagnosis and treatment accuracy.
To implement this project, a camera-based barcode scanner application can be used to extract patient information. The application should display required details such as the patient’s name, age, gender, chronic illnesses, and other medical information. Subsequently, the barcode can be saved on either the patient’s or caregiver’s phone. Details of the barcode can then be accessed through a barcode reader device available at the hospital or medical center. Medical professionals can swiftly access this information to provide appropriate care for the patient.