I Will Deploy Machine Learning Models on Edge Devices by David Olufemi

I Will Deploy Machine Learning Models on Edge Devices by David OlufemiI Will Deploy Machine Learning Models on Edge Devices by David Olufemi

I Will Deploy Machine Learning Models on Edge DevicesDavid Olufemi

Cover image for I Will Deploy Machine Learning Models on Edge Devices

Need an AI model to run directly on a device instead of relying entirely on the cloud?

I build and deploy machine-learning solutions for edge devices, where models can process data locally.

I can help with:

• Edge AI model deployment • Audio classification • Sensor-based ML applications • ESP32-based AI systems • Edge Impulse workflows • Model optimisation for embedded devices • Hardware and software integration

What you'll get: • A trained or prepared ML model • Edge deployment • Device integration • Testing and evaluation • Guidance on connecting the model to sensors and outputs

How it works:

You explain the problem and the hardware you're working with.

I review the available data and device limitations.

I prepare or train the appropriate model.

I optimise and deploy the model to the edge device.

I test the complete system with the connected hardware.

Before starting: I'll need details about the device, sensors, dataset, expected output and what you want the system to accomplish.

FAQs

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Duration1 week

Tags

IOT

Python

TensorFlow

Embedded Systems Developer

EDGE COMPUTING

machine learning engineer