Is your feature request related to a problem?
Describe the feature you'd like
💡 Overview & Motivation
To enhance Ell-ena's smart productivity ecosystem, I propose integrating an Energy-Based Task Matching Engine alongside a Single-Task Focus Mode (inspired by the PulseSync design concept).
Instead of forcing users through dense task lists during low-energy states, Ell-ena will dynamically evaluate task complexity using its AI capabilities and match tasks with the user's current cognitive state (High, Medium, or Calm), helping mitigate task paralysis.
🚀 Proposed Integration Architecture
1. Energy Matcher (Gemini NLU & RAG Filtering)
- Location:
lib/services/ai_service.dart & lib/screens/tasks/
- Functionality: Extend the Gemini NLU pipeline to categorize task difficulty/cognitive load. When a user selects their energy state, the system filters and suggests tasks optimized for their current bandwidth.
2. Single-Task Focus Mode
- Location:
lib/screens/tasks/
- Functionality: A distraction-free Flutter view displaying only one task at a time, temporarily hiding complex project structures and navigation drawers to promote immediate action.
3. Modern Soft Pastel Theme & Micro-Interactions
- Location:
lib/widgets/custom_widgets.dart & lib/screens/tasks/
- Functionality: Introduce a calm Pastel Design System option (super-rounded components, gentle gradients) along with lightweight achievement feedback (e.g., Lottie confetti burst + dynamic AI encouragement quotes upon completion).
🛠️ Proposed Implementation Steps
Record
Is your feature request related to a problem?
Describe the feature you'd like
💡 Overview & Motivation
To enhance Ell-ena's smart productivity ecosystem, I propose integrating an Energy-Based Task Matching Engine alongside a Single-Task Focus Mode (inspired by the PulseSync design concept).
Instead of forcing users through dense task lists during low-energy states, Ell-ena will dynamically evaluate task complexity using its AI capabilities and match tasks with the user's current cognitive state (High, Medium, or Calm), helping mitigate task paralysis.
🚀 Proposed Integration Architecture
1. Energy Matcher (Gemini NLU & RAG Filtering)
lib/services/ai_service.dart&lib/screens/tasks/2. Single-Task Focus Mode
lib/screens/tasks/3. Modern Soft Pastel Theme & Micro-Interactions
lib/widgets/custom_widgets.dart&lib/screens/tasks/🛠️ Proposed Implementation Steps
lib/screens/onboarding/or task dashboard.ai_service.dartwith Gemini prompts to rank/filter tasks by cognitive load.lib/screens/tasks/.lib/widgets/custom_widgets.dart.Record