diff --git a/docs/ui/user_storys.txt b/docs/ui/user_storys.txt new file mode 100644 index 0000000..f9ab8d2 --- /dev/null +++ b/docs/ui/user_storys.txt @@ -0,0 +1,59 @@ +Here are user stories based on the tasks displayed in your project management board: + +--- + +### 1. **Artikel Text extrahieren** + - **User Story**: As a content analyst, I want to extract text from articles so that I can use the raw text data for analysis and further processing. + - **Acceptance Criteria**: + - Text can be accurately extracted from various article formats. + - Extracted text is stored in a structured format for easy access. + - Non-text elements (e.g., images) are excluded from the output. + +--- + +### 2. **Large Language Model Anbindung** + - **User Story**: As a developer, I want to integrate a large language model so that I can enable natural language processing capabilities within our application. + - **Acceptance Criteria**: + - The model is successfully integrated with the application. + - The application can send requests and receive responses from the model. + - Integration meets latency and performance requirements. + +--- + +### 3. **Datenbank Anbindung** + - **User Story**: As a data engineer, I need to connect the application to a database so that I can store and retrieve data efficiently. + - **Acceptance Criteria**: + - The database connection is stable and secure. + - Data can be successfully read from and written to the database. + - Connection meets data access speed and reliability requirements. + +--- + +### 4. **ML Trainings Daten sammeln und Labeln** + - **User Story**: As a data scientist, I need to collect and label training data for machine learning so that I can build accurate predictive models. + - **Acceptance Criteria**: + - Data is collected in a structured and consistent format. + - Labels are applied correctly according to predefined guidelines. + - Dataset is sufficient in size and diversity to support model training. + +--- + +### 5. **ML Model Entwicklung** + - **User Story**: As a machine learning engineer, I want to develop a machine learning model so that I can predict user behavior and improve application functionality. + - **Acceptance Criteria**: + - The model is developed and tested on the training data. + - Model performance meets the accuracy threshold defined in the requirements. + - Model can be deployed and integrated with the application. + +--- + +### 6. **UI Design** + - **User Story**: As a UI designer, I want to create a user-friendly interface so that users can interact with the application easily and intuitively. + - **Acceptance Criteria**: + - The UI design follows established design principles and guidelines. + - The interface is tested for usability and accessibility. + - Feedback from test users is incorporated into the final design. + +--- + +Each user story is crafted to capture the goals and requirements of different stakeholders involved in your project. Let me know if you need additional details for any specific story. \ No newline at end of file