Simple tool to perform 2 steps of functionality
Budget: $30 – $250 USD
I need to build a model to Create User Stories and Log in Jira Boards
Data Preparation:
Load the CSV file (rnn_data.csv) and preprocess the data, converting text data into numerical representations.
Model Architecture:
Use an RNN (Recurrent Neural Network) for sequence generation.
Input: Functionality_Description and User_Preferences.
Output: Generated_User_Story and Associated_Jira_Board.
Login to Jira and Assign User Stories to Board to a user
Data Preparation:
Load the CSV file (transformer_data.csv) and preprocess the data.
Model Architecture:
Use a Transformer model for non-sequential data.
Input: User_Story_Description, Priority, Type.
Output: Assigned_Jira_Board and Assigned_User.
Data Preparation:
Load the CSV file (rnn_data.csv) and preprocess the data, converting text data into numerical representations.
Model Architecture:
Use an RNN (Recurrent Neural Network) for sequence generation.
Input: Functionality_Description and User_Preferences.
Output: Generated_User_Story and Associated_Jira_Board.
Login to Jira and Assign User Stories to Board to a user
Data Preparation:
Load the CSV file (transformer_data.csv) and preprocess the data.
Model Architecture:
Use a Transformer model for non-sequential data.
Input: User_Story_Description, Priority, Type.
Output: Assigned_Jira_Board and Assigned_User.