Deploy ML Model to Arduino ESP32

Hi, I can do this ML-project(FoG PD) for you using esp32/Arduino IDE + python/Windows or Ubuntu Please contact me for more details on this messenger. Thanks

⭐ Hi Client! Nice to meet you here! ⭐ I've read your job post carefully, and your project on detecting Freezing of Gait (FoG) in Parkinson's Disease patients using an Arduino ESP32 is truly fascinating. With over 8 years of experience in C++ development and strong expertise in machine learning, I have previously worked on similar projects involving sensor data processing and microcontroller deployment. I am well-equipped to convert your existing Python ML code into C/C++ for the Arduino IDE and implement efficient data processing and model inference using TensorFlow Lite for Microcontrollers. This will ensure a seamless integration of your ML model with the gyroscope and accelerometer data. My technical skillset includes proficiency in C/C++, Python, and extensive experience with the Arduino IDE and microcontrollers. Additionally, I have a solid understanding of machine learning concepts and algorithms, which will allow me to deliver a robust solution tailored to your requirements. I am confident in my ability to provide you with a perfect result in a timely manner. Looking forward to working with you soon. Best, Wiliam.

I have experience working with TinyML and converting model to be compatible with esp32-cam module. I worked on person detection in a mobile robot and I am sure that I will deliver the required output

At GLOOM DEV, our expertise lies at the intersection of Data Science, IoT, and Machine Learning - just what your project demands. Our extensive experience with Arduino IDE and Arduino ESP32 combined with an in-depth understanding of Python and C/C++ programming makes us eminently suited for the task. We have consistently produced efficient coding to ensure optimal usage of hardware resources. Moreover, our proficiency in TensorFlow Lite for Microcontrollers is a valuable asset for your project. We not only excel at converting ML models into C/C++ compatible code but also possess a deep understanding of machine learning that aids in implementing data processing and model inference logic effectively. Additionally, we bring to the table a thorough knowledge of gyroscope and accelerometer data processing, which is critical for your task of detecting freezing of gait in Parkinson's Disease patients. Our mission at GLOOM DEV aligns perfectly with your objective: to leverage innovative technologies for social causes. As such, we are passionately committed to contributing our best towards this project. With GLOOM DEV on board, expect nothing less than bespoke solutions that actualize digital transformation and achieve impactful outcomes. Let's collaborate to make a real difference!

This project requires expertise in both machine learning and embedded systems. If you need help with drafting a job description or further technical advice, feel free to ask!