Understanding client objectives and identifying AI/ML opportunities.
Gathering relevant datasets and performing data cleaning.
Utilizing Keras, PyTorch, and TensorFlow for model architecture.
Conducting thorough testing for accuracy and performance.
Deploying the model into the client’s environment.
Providing ongoing support to ensure model stability.
