As a developer working on the Adaptive Learning project, I want to integrate an intelligent Idea Generator module into the unified Panel-based user interface. This module will allow students to generate AI-powered project ideas by selecting a subject, grade level, and project type. The system will use GPT-4 to suggest project descriptions and DALL·E to generate representative images.
The new tab will be added to the panel_gui_tabs.py interface and should work independently while sharing the same unified layout.
Acceptance Criteria
Conditions of Satisfaction
Tab Structure
Condition: Idea Generator tab appears
Test: Launch app and check for tab label
Satisfaction: Tab is present and clickable
Agent & API Integration
Condition: GPT-4 and DALL·E handle idea and image generation
Test: Run multiple generations and observe results
Satisfaction: AI responses are appropriate and image appears correctly
Typing Animation
Condition: Idea content is revealed with animation
Test: Click “Generate Idea” and observe output
Satisfaction: Smooth, readable animated typing
PDF Export
Condition: Idea and image are exported as a PDF
Test: Click “Download PDF” and inspect content
Satisfaction: PDF includes formatted idea + embedded image
Independent Tab Operation
Condition: Tab works without interference
Test: Test Idea tab independently
Satisfaction: No cross-tab data issues or UI conflict
Peer Review
Condition: Code and functionality reviewed
Test: Share with peers/professor
Satisfaction: Positive feedback and no blockers
Definition of Done
Tasks & Subtasks with Estimates (15 hours) #475
ALP.10.1 Create and Configure Idea Generator Tab (8 hours) #475
ALP.10.2 Add Image and PDF Export Logic (5 hours) #475
ALP.10.3 Final Integration and Validation (2 hours) #475
As a developer working on the Adaptive Learning project, I want to integrate an intelligent Idea Generator module into the unified Panel-based user interface. This module will allow students to generate AI-powered project ideas by selecting a subject, grade level, and project type. The system will use GPT-4 to suggest project descriptions and DALL·E to generate representative images.
The new tab will be added to the
panel_gui_tabs.pyinterface and should work independently while sharing the same unified layout.Acceptance Criteria
python -m src.UI.panel_gui_tabswithout errorsConditions of Satisfaction
Tab Structure
Condition: Idea Generator tab appears
Test: Launch app and check for tab label
Satisfaction: Tab is present and clickable
Agent & API Integration
Condition: GPT-4 and DALL·E handle idea and image generation
Test: Run multiple generations and observe results
Satisfaction: AI responses are appropriate and image appears correctly
Typing Animation
Condition: Idea content is revealed with animation
Test: Click “Generate Idea” and observe output
Satisfaction: Smooth, readable animated typing
PDF Export
Condition: Idea and image are exported as a PDF
Test: Click “Download PDF” and inspect content
Satisfaction: PDF includes formatted idea + embedded image
Independent Tab Operation
Condition: Tab works without interference
Test: Test Idea tab independently
Satisfaction: No cross-tab data issues or UI conflict
Peer Review
Condition: Code and functionality reviewed
Test: Share with peers/professor
Satisfaction: Positive feedback and no blockers
Definition of Done
pn.Tabs()layoutREADME.mdTasks & Subtasks with Estimates (15 hours) #475
ALP.10.1 Create and Configure Idea Generator Tab (8 hours) #475
idea_generator_tab.pyALP.10.2 Add Image and PDF Export Logic (5 hours) #475
reportlabwith embedded imageALP.10.3 Final Integration and Validation (2 hours) #475
create_idea_generator_tab()inpanel_gui_tabs.pyREADMEwith new tab usage