To avoid conflicts in the future, you can create a virtual environment and install TensorFlow there.

python -m venv tf-env
source tf-env/bin/activate  # On Windows: tf-env\Scripts\activate
pip install tensorflow==2.16.1

If you want to do Tensorflow-based projects using Arduino, you can see here:

https://www.pcbway.com/project/shareproject/New_Era_Farming_with_TensorFlow_on_Lowest_Power_Consumption_7bbe70af.html