$**$ Neural Network Construction:$**$

Write Python code using TensorFlow or PyTorch to build a simple neural network with:

An input layer with $3$ neurons.

A hidden layer with $5$ neurons using the ReLU activation function.

An output layer with $1$ neuron using the Sigmoid activation function.

Briefly explain the function of each layer and activation.

NLP Pipeline:

Design an NLP pipeline to analyze customer feedback for sentiment $($positive or negative$).$

Include the following steps:

Preprocessing techniques.

Model selection and training.

Performance evaluation.

AI Ethics:

Discuss one ethical challenge in AI $,$ such as bias, privacy concerns, or job displacement. Suggest a possible solution to address it$.$

Marking Criteria:

Clarity and Completeness: $10$ marks

Code Accuracy and Explanation: $15$ marks

Depth of Analysis: $10$ marks

$-$Creativity and Relevance: $5$ marks