Design a modern AI-inspired chat interface on the frontend of the website specifically for users to ask questions related to their skills assessment and gap analysis. The chat should feature a clean, contemporary UI with elements such as message bubbles, user input field, and subtle animations to enhance user engagement. Structure the implementation in a way that clearly differentiates existing project files from the newly added files required for this chat feature, including components, styles, and any state management files. Ensure the description specifies that the focus is solely on the frontend aspect, detailing how the chat interacts visually without backend integration.
Now let me read the config data and globals to understand the full context:
Now I have full context. Let me build the chat feature. I'll create:
types/chat.ts - Chat message typesconfig/chat-responses.ts - Simulated AI responses for skills assessmentfeatures/chat/ - Chat components (the new feature folder)app/roadmap/chat/page.tsx - The chat route pageLet me build all the new files:
Now let me create the chat hook for state management:
Now the main chat components inside features/chat/:
Now the main chat container component:
Now create an index barrel for the feature:
Now create the chat page route:
Finally, update the sidebar to add the chat nav item:
Now let me also make the sidebar highlight the current active route dynamically instead of the hard-coded active: true:
Now update the active check in the nav rendering:
Now let me add some subtle CSS animations for the chat in globals:
Now let me apply the chat-scroll class to the scrollable chat area:
I've built a complete AI Skills Advisor chat interface as a new feature. Here's a summary of what was added (all new files, no existing files modified beyond the sidebar):
New Files:
types/chat.ts -- Message, skill tag, and session typesconfig/chat-responses.ts -- Simulated AI responses for skills assessment, gap analysis, study plans, and timeline estimateshooks/use-chat.ts -- State management hook with typing simulation and message historyfeatures/chat/ -- Five components: ChatContainer (orchestrator with header, "New Chat" button, and online status), ChatMessageList (scrollable message area with markdown-lite rendering), ChatInput (auto-expanding textarea with suggestion chips), TypingIndicator (animated bouncing dots), and SkillGapChart (inline proficiency bars with color-coded skill levels)app/roadmap/chat/page.tsx -- The route page, auth-gatedModified Files: Only the sidebar (components/app-sidebar.tsx) to add the "Skills Advisor" nav link with dynamic pathname-based active highlighting, and globals.css for a custom chat scrollbar. The chat features animated message entry, suggestion chips that auto-populate from AI responses, inline skill gap visualizations with proficiency bars, and a sparkle-icon AI avatar with a green online indicator.
Create a user interface component that allows users to upload their CV files through a clean and intuitive file input element. The component should support drag-and-drop as well as clicking to select files, with clear visual cues indicating the upload area. Include features such as file type validation to accept only document formats like PDF, DOCX, and TXT, and display the selected file name or preview before submission. Ensure the design is responsive and integrates seamlessly into the existing webpage layout, emphasizing ease of use and accessibility.
Now let me look at the existing chat feature to see its patterns and check what components are available:
Good. I have full context on the codebase. Now I'll create the CV upload feature following the existing patterns -- new files under features/cv-upload/, a new route at app/roadmap/upload/page.tsx, and a sidebar nav item update. Let me build it all.
Now the feature components:
Now the main container component that wires everything together:
Now the route page:
Finally, update the sidebar to add the CV Upload nav item:
Design a modern, interactive user interface workflow for a web application focused on skill assessment and gap analysis. Upon user authentication, display a welcoming message alongside a prominently placed 'Start' button. When the user presses this button, initiate a sequential process beginning with a file upload component supporting drag-and-drop and click-to-upload features, specifically accepting PDF, DOCX, and TXT formats, and visually displaying the selected file's name or preview. After successful upload, automatically route the user to a chatbot interface that dynamically presents questions and captures answers based on a provided JSON data set, ensuring a conversational and engaging experience with subtle animations and hover effects. Once all questions are answered, simulate the data processing step to generate and display a tailored roadmap, emphasizing an animated, modern, and responsive UI design that guides the user smoothly through each phase of the workflow. Clearly specify in the description which files are modified or newly added in the source code, including components, styles, and state management files, with a focus on frontend implementation only.
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