Team : GTA , Project : HealthyBand - S4DS-KnowCode Hackathon : kjsieit College
its wearable, light weight and less costly...
which has sensors like:
- Heart Pulse Sensor
- Pulse Oximeter Heart Rate sensor
- MPU6050 : Gyro Scopic Sensor : for body movement , sleep mode detection, etc
extra hardware:
- ESP32 : IoT Board
- Battery Li-ion 3.7V, 2500 mH
- 3 push to ON buttons
- Oled : 1.3 Inch , 128x64 Size
for this prototype product we will cover our product for good product interface
its actions:
- measure the sensor data then upload on Django Server (in encrypted form)
- also does edge computing
- display the sensor readings on Oled
- if any health parameter is above threshold level (means in alert range) then make a alert notifiaction to the docter appointed (if that doctor is busy then next doctor which has less schedules and the nearest
- it gives notification for mediaction which medicine with QTY and time
- tracking daily activity : (suggest some use of this feature)
- sleep tracking and sleep time notification
- remote patient monitoring
- every data will be stored on server in encrypted form and can be visiable on iteractive dashboard for real time insights
- make some prediction on the data collected and giving recommendation on it or any prediction on it.
- this information can be made avaliable to doctors and medical institutes if the user consensts for diagnosis and or research purposes
Smart Band Analysis and research.jpeg
Idea is Product name : HealthyBand
its wearable, light weight and less costly...
which has sensors like:
- Heart Pulse Sensor
- Pulse Oximeter Heart Rate sensor
- MPU6050 : Gyro Scopic Sensor : for body movement , sleep mode detection, etc
extra hardware:
- ESP32 : IoT Board
- Battery Li-ion 3.7V, 2500 mH
- 3 push to ON buttons
- Oled : 1.3 Inch , 128x64 Size
for this prototype product we will cover our product for good product interface
its actions:
- measure the sensor data then upload on Django Server (in encrypted form)
- also does edge computing
- display the sensor readings on Oled
- if any health parameter is above threshold level (means in alert range) then make a alert notifiaction to the docter appointed (if that doctor is busy then next doctor which has less schedules and the nearest
- it gives notification for mediaction which medicine with QTY and time
- tracking daily activity : (suggest some use of this feature)
- sleep tracking and sleep time notification
- remote patient monitoring
- every data will be stored on server in encrypted form and can be visiable on iteractive dashboard for real time insights
- make some prediction on the data collected and giving recommendation on it or any prediction on it.
-
Our team has dedicated to developing a fitness band that goes beyond the conventional, seamlessly integrating advanced technology to empower you on your fitness journey.
-
This prototype represents the culmination of innovation, precision engineering, and a deep understanding of the diverse needs of individuals striving for a healthier lifestyle.
-
Our fitness band prototype is not just a step tracker; it's a health companion.
-
Smartphone
- Heart Rate- Pulse Sensor
- Gyroscope- To measure angular velocity, movement and Orientation
- Accelerometer- Inertial measurements of velocity and position
- Walking Mode
- Running Mode
- Different Sports mode- Model has been trained but testing in Not completed
- Smart Phone Notification
Advanced Biometric Monitoring:
- Real-time heart rate monitoring to gauge your cardiovascular health.
Smart Activity Recognition:
- Automatic detection and categorization of various activities, from running and cycling to yoga and weightlifting.
Personalized Health Insights:
- Tailored recommendations based on your activity levels, sleep patterns, and overall health metrics.
- Stress Level Measurement
- Sleep Tracking
- Make an Robust Application
- Calories Burn Tracking
- SOS signal
- and to help you manage the demands of daily life.
user name : atharva password : 123
Band SensorData Web-App - Hand Band Simulation :: link : https://wokwi.com/projects/387899744400957441
.jpeg)
.jpeg)
Unlock collaborative healthcare with our EHR Exchange Wall. Explore, analyze, and share data seamlessly on our website for a healthier future.
- its basically a Electronic Health Record data exchange platform
-
find best and low compute(moderate) encrypt algo for hardware(ESP32)
-
ML Model for health alert detection in advance
-
alert threshold level for every sensative parameter
-
track daily activity and suggest healthy schedule
-
sleep tracking and healthy sleep timing notification
-
try to add more revelent ml algo on collected data from the patient for hackathon
NOTE : for every ml model create a folder in repo under ml section
and for every ml model save the model and the feature name also save the inference code for the same saved model (Load, test, predict)
- circuit connection (main Task)
- research on current technology for our project
- compare the branded band and our HealthyBand with 20 points (create a compare table)
- create a Privacy Policy for EHR
- project bullet points ruled paper for Judges(info, description, etc)
-
Django Server:(deploy it on Replit Server) (responsive Web-App - [Desktop + Mobile : View])
-
unique-api-token
-
device-token
-
sensor api
-
save the data in encryped form (only for sensative data)
-
view with (public / login cred)
-
access control to the data : doctor, patient, nurse, etc
-
(single Page) :
- insights of the patient
- sleep track graph
- medication input form : medicine , qty, description, time, dates/week/month
- heart rate per day
-
fault tolerance : ... need to decide (Main Role : how reliable our system is ?)
-
notification page : medicine, checkup remainder, etc
-
consensts : for sharing the information with ORG,etc
-
EHR Data Exchange Wall: (make UI similar to Kaggle)
- rules : encryption, add redenduncy, add noise, etc
- file format
- file description:size, no. columns, no. rows, datatype of the columns, and some EDA on it in advance
- Privacy Policy : how to use it and where to use it, etc
- for this prototype NO Pay-Wall
-
-
Product Designing:
- build a proto-type case for the HealthyBand