Brief description of the project, including the problem it aims to solve and its target audience.
The main goals the project intends to achieve, aligned with specific learning outcomes (LOs) and AI-Specific Learning Outcomes (AILOs).
Detail the initial brainstorming process, concept selection, and the unique value proposition of the project.
Outline the Agile planning process, including planning, defining user stories, and setting up project management tools.
Document phase goals focused on setting up the project's foundational elements— proposal submission, community engagement for feedback, revision processes, endorsements by trusted members, and adoption by organizations. Highlight how GitHub Copilot contributed to refining user stories and goals, ensuring a broad coverage of platform functionalities. Include screenshots and examples of the project board setup and user story formats.
In no more than one paragraph per bullet point, provide a brief description of:
Declare the use of AI in your project as previously outlined. Address the following ethical considerations and modify the list as necessary:
Delete or add items as needed to reflect how these issues were considered during your project's development.
Create up to five bullet points to highlight key points of ethical consideration and how you resolved these. For example:
alt tags and elements are properly aria labelledDescribe the process of selecting and setting up the development environment, including version control systems and choice of tech stack.
Provide insights into the initial UI/UX design process, including wireframes and design tools used.
Document the creation of the project's foundational structure, focusing on backend setup and frontend layout.
Detail the development of core project features, noting any particular challenges encountered and AI tool usage.
Summarize the integration process between different components and initial testing efforts, including both manual and automated tests where applicable.
Discuss the development of more advanced features, highlighting innovative solutions and AI-enhanced coding practices.
Describe the focused testing and debugging efforts during this , including methodologies, tools used, and key outcomes.
Detail the process of gathering and integrating user feedback, reflecting on how it influenced project direction and feature refinement.
Cover the final polishing of features and UI/UX, alongside performance optimization efforts, mentioning any AI-driven enhancements.
Document the deployment process, challenges faced, solutions found, and provide a link to the deployed application.
Summarize the final testing phase, including test coverage and results, and compile comprehensive project documentation.
Reflect on the project's Agile journey, lessons learned, the effectiveness of AI tools, and areas for future improvement.
Instructions for setting up the project environment and running the application locally.
Credits to team members, mentors, contributors, and any third-party resources or tools that significantly aided the project's development.