TensorFlowLite for Image recognition

Follow the instructions found on these links and implement your own application to detect images of interest to you

• https://github.com/pierpaolo28/Artificial-Intelligence-Projects/tree/master/Google%20AI%20tools/TensorFlow-Lite-Image-Classifier

• https://www.freecodecamp.org/news/machine-learning-for-mobile-and-embedded-devices/amp/

Steps in the process

1) Creating and training a Machine Learning model in Python using TensorFlow. 2) Converting our model in a suitable format for TensorFlow Lite using TensorFlow Lite converter. 3) Deploying our Machine Learning model on our mobile device using TensorFlow Lite interpreter. 4) Optimising the model memory consumption and accuracy.