user71245: I wanted to do a machine learning project in Arduino UNO R3. But I came to know that the processor(ATMEGA328P) isn't capable of supporting the processing power needed for machine learning. So is there any other processor that is better than ATMEGA328P for machine learning that is supported in UNO? If not any other way that I can do it?

user7727: The Arduino blog recommends this: https://store.arduino.cc/nano-33-ble-sense.
See: https://blog.arduino.cc/2019/10/15/get-started-with-machine-learning-on-arduino/
I know Arduino has been talking about machine learning for about a year or so. Here's the Google search I used to find this: Arduino machine learning.
Here's a kit you can buy too: https://store.arduino.cc/usa/tiny-machine-learning-kit.

user4143: You can't just replace the processor on the UNO with something better. The 328P is pretty much the best MCU there is in the pinout for that board.
Instead you can replace the whole UNO with something more powerful.
My board of choice for AI work would have to be one based on the Kendryte K210 chip, such as the Maixduino (which is helpfully in an UNO footprint).  The K210 is a dual-core 64-bit 400MHz RISC-V CPU with embedded neural network co-processor. On the Maixduino it's also coupled with an ESP32 for WiFi/Bluetooth.  That's 2x 400MHz 64-bit cores, 2x 32-bit 240MHz cores, one low-power FSM core, and a neural network core all on one board.

71245: <p>I wanted to do a machine learning project in Arduino UNO R3. But I came to know that the processor(ATMEGA328P) isn't capable of supporting the processing power needed for machine learning. So is there any other processor that is better than ATMEGA328P for machine learning that is supported in UNO? If not any other way that I can do it?</p>
 7727: <p>The Arduino blog recommends this: <a href="https://store.arduino.cc/nano-33-ble-sense" rel="nofollow noreferrer">https://store.arduino.cc/nano-33-ble-sense</a>.</p>
<p>See: <a href="https://blog.arduino.cc/2019/10/15/get-started-with-machine-learning-on-arduino/" rel="nofollow noreferrer">https://blog.arduino.cc/2019/10/15/get-started-with-machine-learning-on-arduino/</a></p>
<p>I know Arduino has been talking about machine learning for about a year or so. Here's the Google search I used to find this: <a href="https://www.google.com/search?q=Arduino+machine+learning&amp;oq=Arduino+machine+learning&amp;aqs=chrome..69i57j69i60.9678j0j7&amp;client=ms-android-google&amp;sourceid=chrome-mobile&amp;ie=UTF-8" rel="nofollow noreferrer">Arduino machine learning</a>.</p>
<p>Here's a kit you can buy too: <a href="https://store.arduino.cc/usa/tiny-machine-learning-kit" rel="nofollow noreferrer">https://store.arduino.cc/usa/tiny-machine-learning-kit</a>.</p>
 4143: <p>You can't just replace the processor on the UNO with something better. The 328P is pretty much the best MCU there is in the pinout for that board.</p>
<p>Instead you can replace the whole UNO with something more powerful.</p>
<p>My board of choice for AI work would have to be one based on the Kendryte K210 chip, such as the <a href="https://www.seeedstudio.com/Sipeed-Maixduino-for-RISC-V-AI-IoT-p-4046.html" rel="nofollow noreferrer">Maixduino</a> (which is helpfully in an UNO footprint).  The K210 is a dual-core 64-bit 400MHz RISC-V CPU with embedded neural network co-processor. On the Maixduino it's also coupled with an ESP32 for WiFi/Bluetooth.  That's 2x 400MHz 64-bit cores, 2x 32-bit 240MHz cores, one low-power FSM core, and a neural network core all on one board.</p>
