The challenges we ran into during the development of this project were multi-faceted and required careful decision-making. One significant challenge was maintaining Git version control, particularly while working with both backend and frontend components in the same repository. Managing branches, resolving merge conflicts, and ensuring smooth collaboration across team members required meticulous attention to detail, especially when changes were happening simultaneously on both the backend and frontend. Additionally, keeping the repository organized and ensuring proper version control for each module was a crucial but challenging task that we had to overcome.

Another challenge was choosing the right frontend technology. We initially debated between React.js and Flutter, as both offered distinct advantages. React.js is widely used for web-based interfaces, while Flutter offers cross-platform support and would allow us to target both web and mobile with a single codebase. After much deliberation, we chose Flutter for its flexibility and ease of integrating the AI-powered teaching assistant on both mobile and web platforms. However, this decision brought its own learning curve and added complexity in setting up the environment, which we had to navigate effectively.

Lastly, model training presented its own challenges. Training the AI model to not only understand sorting algorithms but also respond Socratically required tuning the responses carefully to make them feel more natural and engaging for students. Achieving the right balance between guiding the students and providing useful hints, without directly giving away answers, involved multiple iterations. Fine-tuning the model and ensuring it could handle various queries in real-time took considerable time and effort.