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Hi šŸ‘‹, I'm Yadnik Bendale

An Embedded Systems Developer, pursuing Master of Science in Electrical Engineering from the University of Pennsylvania

Coding

yadnik1

yadnik1

  • šŸ”­ Iā€™m currently working on 4G LTE Based Asset Tracker
  • šŸŒ± Iā€™m currently learning Rust
  • šŸ’¬ Ask me about Embedded Systems and Internet of Things
  • šŸ“« How to reach me [email protected]
  • šŸ“„ Know about my experiences here

Connect with me:

yadnik bendale yadnik bendale

Languages and Tools:

arduino aws c cplusplus dart firebase flutter git grafana hugo ifttt jekyll linux matlab python

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Ā yadnik1

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Yadnik Bendale's Projects

learn-aws-iot icon learn-aws-iot

:bulb: Learn how to use Amazon Web Services Internet of Things (IoT) service to build connected applications.

low-cost-telematics-device icon low-cost-telematics-device

Developed a cost-effective telematics device for automobiles, capable of enabling user-based insurance models to save up to 30% on premiums. Features include a two-layer PCB design in KiCad, efficient firmware in C with CMake, and advanced noise reduction in IMU sensors using Python.

microbit_us100 icon microbit_us100

Micro:bit library for the ultrasonic sensor us-100 in serial mode

micropython icon micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

myblog icon myblog

A content-first, sliding sidebar theme for Jekyll.

noxious-gas-detection-system-for-coal-mines icon noxious-gas-detection-system-for-coal-mines

This project showcases the development of a sensor integration system using ESP32, to transmit eight key parameters to InfluxDB over Wi-Fi. The data is then visualized in real-time on a Grafana and a significant enhancement in detection accuracy, was achieved through the implementation of a Bayesian sensor fusion algorithm on a Raspberry Pi 4

overhead-crane-control-system icon overhead-crane-control-system

An efficient and reliable embedded system firmware for overhead crane applications. Developed using STM32G030C8T6 MCU, this project presents a specialized solution for encoder and decoder units, tailored to enhance the performance and safety of crane operations.

simple-lan-chat icon simple-lan-chat

A simple app that allows users on the same LAN to chat through basic UDP packets.

stmems_machine_learning_core icon stmems_machine_learning_core

Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices including MLC: LSM6DSOX, LSM6DSRX, ISM330DHCX, IIS2ICLX, LSM6DSO32X, ASM330LHHX

sunday-wellness-tracker icon sunday-wellness-tracker

The SunDay Wellness Tracker is a project designed to bridge the knowledge gap regarding environmental impacts on personal health. The focus is on creating a solution that monitors crucial health determinants like UV exposure, light source differentiation (natural vs. artificial), and air quality.

test_gps icon test_gps

Taking the lwgps library into use for parsing NMEA data from GPS in real time

zephyr icon zephyr

Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.

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