Manivannan's Projects
A medical device which will have SpO2 , respiratory rate , heart rate , body temperature and on the top it will run by TinyML model using Edge impulse to predicts the patient condition. The classification is based on research papers.
I have developed a TinyML model using Edge impulse software . This model can predict your braking skills in speed breakers and potholes. I have added external sensors over my brake pedal and accelerometer for data capturing. This model will classify your braking into : Good Braking Over Braked Under Braked Flat Road Drive
I worked on a TinyML application powered by Edge Impulse to develop a mini-Diagnosis ECG analyzer device which can fit on a pocket and it can diagnose heart diseases independently without an Internet.
Model 2 will also covers the same use cases mentioned in model 1 . The elephant will behave differently based on situations like defend , alerting the troop , attacking , playing. So based on the accelerometers data , we can predict the behaviour.
ECG analyzer library is a C library with all predefined signal processing to split the filtered ECG wave into R-R wave and PR wave .
A TinyML based wearable using Edge Impulse software to detect the tablet consumption action
I will be updating the Tensor Flow lite tutorials with application oriented projects.
I have developed a python application to get notification to your mail ID whenever the vaccine Slot available in your preferred Pin Code and Date.