DarrenLee09/HonqueDoro

AI Summary: Implement an AI feature within an Angular application to assist users in defining and understanding their needs, potentially through goal setting or interactive prompts. This involves designing and integrating an AI model (likely a conversational AI) into the existing Angular project.

AI Summary: Redesign the user interface (UI) and user experience (UX) of an Angular application. The current UI is considered unsatisfactory, and the developer lacks design skills. The task involves creating a new design for all aspects of the application.

AI Summary: Implement a user registration and login flow for the Angular application. This involves creating forms for user registration and login, handling user authentication (likely using a backend service), and securely storing user credentials.

AI Summary: Implement a login/registration flow for the Angular application. This involves creating user authentication functionality, likely using a backend service (not specified in the provided project details) to handle user data storage and verification. The front-end will need forms for login and registration, handling user input and communication with the backend.

AI Summary: Replace the existing timer completion sound ('ding') in the Angular application with a new sound ('honque'). This involves finding the existing sound implementation, replacing it with a new sound file, and potentially adjusting any associated UI elements to reflect the change.

AI Summary: Improve the styling of the Angular application's dashboard. The current CSS is considered unsatisfactory and needs improvement.

AI Summary: The task is to choose between AWS, GCP, or Azure for implementing email authentication in an Angular application. This involves researching the email services offered by each provider, considering factors like cost, scalability, ease of integration with Angular, and security implications, and then making a recommendation.

AI Summary: Implement a small animated goose that randomly moves around the screen during user-defined break times within an existing Angular application. This requires creating a new component for the goose animation and integrating it into the application's UI, potentially using timers or intervals to control its appearance and movement.

AI Summary: Set up Continuous Integration and Continuous Deployment (CI/CD) for the Angular application using GitHub Actions or a similar platform. This involves configuring automated build, testing, and deployment processes.

AI Summary: The task is to investigate the possibility of using a free domain name, potentially from Vercel, for the Angular application described in the project README. This involves researching Vercel's domain offerings and determining if they meet the project's needs.

AI Summary: Implement a load balancer in an Angular application to distribute user sessions and optimize resource usage, preventing excessive costs.

AI Summary: Integrate a real-time database, such as Firebase, into the existing Angular application to enable real-time data synchronization and updates. This involves setting up the Firebase project, configuring the Angular application to interact with the database, and implementing the necessary data handling logic.

AI Summary: The task involves setting up a Kubernetes cluster on a cloud provider (AWS, GCP, or Azure), choosing the cheapest option, and deploying a pre-existing Angular application (from the provided project) using Docker. This includes configuring the Kubernetes cluster, creating Docker images for the Angular application, and deploying the images to the cluster.

AI Summary: Integrate a UI framework (e.g., Material, Bootstrap, Tailwind CSS) into an existing Angular application to improve the responsiveness and overall UI design. This involves selecting a framework, installing it, integrating it into the Angular project, and updating the existing components to use the new framework's styling and components to ensure a responsive design across different screen sizes.

AI Summary: Debug and fix the frontend logic responsible for tracking user behavior in an Angular application. The current implementation is described as barely functional.

AI Summary: Set up a Python backend to handle the application logic currently hardcoded in the Angular frontend. This involves designing API endpoints to interact with the frontend, implementing the necessary business logic in Python, and potentially integrating with a database.