python-program using pytorch in deep learning urgent-

need urgent help in the Deep learning project as describing below -
price can be flexible .!!

PART II: Long Short-Term Memory (LSTM)
Dataset: ATIS Intent - Use ATIS_intent_train and ATIS_intent_test file for the assignment.
Note: Data trimming is not allowed in this question. Dataset description: The ATIS dataset is a standard benchmark dataset widely used as an intent classification. ATIS Stands for Airline Travel Information System. Intent classification is an important component of Natural Language Understanding (NLU) systems in any chatbot platform.

Task: Dialogue Intent Classification: For a given dialogue students need to develop a program to predict intent of utterance at time T with the help of previous X utterances as context.

1. Visualize dialogue corpus and show stats of the train and test file.
2. Implement a program using just LSTM and linear layers to predict intent of utterance at time T considering previous X utterances’ context.
3. Now, show plots for accuracy and weighted F1 scores for X = {0,1,2,3,4}
4. Does the performance of the model increase with increase in X? Justify

- For every point within each part, visualize the learning using the following plots:
● Training Loss vs Number of Epochs
● Validation Loss vs Number of Epochs
● Plots showing convergence over different values of X