user storys

docs/ui/user_storys.txt

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+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.