DoBetter.love has developed a new AI application using Replit, designed to enhance user engagement and experience. The project aims to ensure the app functions seamlessly and meets high-quality standards before its official launch. The team of learners will be tasked with identifying and resolving bugs, as well as conducting comprehensive quality assurance testing. This will involve applying debugging techniques and QA methodologies learned in the classroom to real-world scenarios. The project will focus on ensuring the app's reliability, usability, and performance. By the end of the project, the learners will have gained practical experience in software testing and debugging, contributing to the app's readiness for market release.

- Identify and document bugs within the AI application.

- Conduct thorough quality assurance testing to ensure app functionality.

- Collaborate to apply classroom knowledge in debugging and QA processes.

- Provide a final report summarizing findings and recommendations for improvement.

The project deliverables will include a comprehensive bug report detailing all identified issues within the AI application. Additionally, a quality assurance report will be prepared, outlining the testing methodologies used and the results obtained. The team will also provide a set of recommendations for further improvements to enhance the app's performance and user experience. Finally, a presentation summarizing the project's findings and outcomes will be delivered to DoBetter.love.

- Detailed bug report with identified issues.

- Quality assurance report with testing results.

- Recommendations for app improvements.

- Final presentation summarizing project outcomes.