🤖 First Issue: Enhance LLM Response Formatting

Description

The AI tutor's responses need better formatting for readability, especially when explaining concepts, providing examples, or listing steps.

Suggested Improvements

• 📌 Markdown Support: Allow the AI to format responses with bold, italic, bullet points, and code blocks.
• 📖 Code Highlighting: If the tutor explains coding concepts, ensure proper syntax highlighting.
• 🎭 Consistent Styling: Improve how different response types (definitions, examples, explanations) are displayed.

Getting Started

1. Identify where LLM responses are displayed ( API response handler, etc.).
2. Implement markdown parsing (e.g., using marked.js or another library).
3. Ensure code blocks and special formatting render correctly.
4. Test and submit a PR with examples of formatted responses.

Tasks

• Implement markdown support in AI responses.
• Improve code syntax highlighting.
• Test response formatting.
• Submit a PR.

Priority

🟢 Beginner-Friendly

Additional Notes

This issue is great for frontend or full-stack developers who want to improve LLM usability! 🚀