we are liivng in era where technology penerate in our society in all kind of work even some Desician taking and reinforcement learning modles are developed so we design weight measuring shoes and iot based hand wrist belt. In hand wrist belt(watch) we measure heart rate temperature a
Weight measuring shoes and smart watch for calories burnt prediction and Health monitoring
we are liivng in era where technology penerate in our society in all kind of work even some Desician taking and reinforcement learning modles are developed so we design weight measuring shoes and iot based hand wrist belt. In hand wrist belt(watch) we measure heart rate temperature and oxygen intake after getting thess data on in real time and apply Machine learning model of Calories burnt perdiction this perdiction is our main goal. we store this datahistory in server and develop destop application where we visualize our wegiht rate and BMI, and per day calories burnt rate we can also impliment other ML Model on Health
1.To develop Iot based watch having temperature and Blood Pressure measurement system
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2.To develop Weight measuring shoes having data transferring feature’s(Bluetooth)
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3.To develop ML model for Calories Burnt prediction
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4.To develop centralized System (desktop app) for Data visualization(IBM, weight)graph’s
•Select Features For ML
•System Design
•Data Flow design
•Selecting Component’s
•Cad model
•Design Desktop application
we distribute project diliverabkes in sub systemform
1 Weight measuring Shoes
2 Hand wrist belt for measuring temperature and heartbeat
3 Trained Machine Learning model
4 Connect IOt to your system
5 Desktop app
Information about calories burnt is important for people at risk of obesity. Currently the systems for monitoring of calories burnt only rely on measurement of movement through some wearable sensor. However information of weight of a person plays a major role along with activity monitoring for information about calories.
And these data also use in many other health realted ML models and storing human health history. we can visilize graphicaly
"this project can leads us to large Brand who design health related devices and giving simple solution through Artificial Intelligence"
First we need Domain Knowlage about Calories burnt how calories Burn and Which changes occur during exseride and doing work for sake of claories burnt , After Slecting Such parameters we have to Record real data or we train Our ML model on these parameters on label data
Now main thinks is getting parameter values form humans
such parameter are human weight(human+ weight lifted) ,body temperature ,oxygen intake,Heart rate ,gender hieght ,age ,from these parameter some are defined such as gender, age ,hight but for remaning we need sensors to measure these parameters and we need controller who is capable of connecting to internet
Now feed real time data in train Ml model to get perdicted value how much you burn calories
in the end we develop a app ny Phython programing for just visulization
"one main point we also feed Time in train model for perdiction .how much parameter has same value "
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ESP32S MICROCONTROLLER | Equipment | 3 | 750 | 2250 |
| ST7735 1.44 INCH 128X128 SPI TFT COLOR SCREEN LCD DISPLAY | Equipment | 1 | 950 | 950 |
| OLED 1.3 INCH DISPLAY MODULE 128X64 I2C COMMUNICATE 4PIN SSD1106 BLUET | Equipment | 1 | 850 | 850 |
| AMPLIFIER MODULE ANALOG TO DIGITAL CONVERTER PRESSURE SENSOR | Equipment | 4 | 100 | 400 |
| micro-usb-port-charging-data-cable-for-nodemcu-wemosd1arduino-leonardo | Equipment | 2 | 50 | 100 |
| 3D printed watch frame | Equipment | 3000 | 1 | 3000 |
| Shoes | Equipment | 3000 | 1 | 3000 |
| jumper wires | Equipment | 5 | 80 | 400 |
| digital-infrared-temperature-sensor-for-arduino-mlx90614 | Equipment | 1 | 1990 | 1990 |
| pulsesensor-pulse-heart-rate-sensor | Equipment | 1 | 350 | 350 |
| max30102-blood-oxygen-concentration-wrist-heart-rate | Equipment | 1 | 550 | 550 |
| array of piezoelectric material | Equipment | 2 | 1500 | 3000 |
| 1000mah-3.7v-lithium-ion-battery-li-ion-battery | Equipment | 3 | 200 | 600 |
| delivery charges | Miscellaneous | 5 | 300 | 1500 |
| stationary (glue, nuts ,screws, spray color) | Miscellaneous | 1 | 1000 | 1000 |
| wrist Belt | Equipment | 1 | 300 | 300 |
| ESP32S MICROCONTROLLER | Equipment | 3 | 750 | 2250 |
| ST7735 1.44 INCH 128X128 SPI TFT COLOR SCREEN LCD DISPLAY | Equipment | 1 | 950 | 950 |
| OLED 1.3 INCH DISPLAY MODULE 128X64 I2C COMMUNICATE 4PIN SSD1106 BLUET | Equipment | 1 | 850 | 850 |
| AMPLIFIER MODULE ANALOG TO DIGITAL CONVERTER PRESSURE SENSOR | Equipment | 4 | 100 | 400 |
| micro-usb-port-charging-data-cable-for-nodemcu-wemosd1arduino-leonardo | Equipment | 2 | 50 | 100 |
| 3D printed watch frame | Equipment | 3000 | 1 | 3000 |
| Shoes | Equipment | 3000 | 1 | 3000 |
| jumper wires | Equipment | 5 | 80 | 400 |
| digital-infrared-temperature-sensor-for-arduino-mlx90614 | Equipment | 1 | 1990 | 1990 |
| pulsesensor-pulse-heart-rate-sensor | Equipment | 1 | 350 | 350 |
| max30102-blood-oxygen-concentration-wrist-heart-rate | Equipment | 1 | 550 | 550 |
| array of piezoelectric material | Equipment | 2 | 1500 | 3000 |
| 1000mah-3.7v-lithium-ion-battery-li-ion-battery | Equipment | 3 | 200 | 600 |
| delivery charges | Miscellaneous | 5 | 300 | 1500 |
| stationary (glue, nuts ,screws, spray color) | Miscellaneous | 1 | 1000 | 1000 |
| wrist Belt | Equipment | 1 | 300 | 300 |
| Total in (Rs) | 40480 |
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