AOSSIE-Org / AOSSIE-Org/Ell-ena

FEATURE REQUEST:[Feature Request / GSoC Proposal] Energy-Based Task Matching & Single-Task Focus Mode (PulseSync Concept)

未關閉
#311 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
主要語言
Dart
星號
54
分支
110
PR 合併指標
30 天內沒有已合併 PR

描述

### Is your feature request related to a problem?

- [x] Yes, it is 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
- [ ] Implement the Energy Selection UI state inside `lib/screens/onboarding/` or task dashboard.
- [ ] Extend `ai_service.dart` with Gemini prompts to rank/filter tasks by cognitive load.
- [ ] Build the Single-Task Focus Mode component in `lib/screens/tasks/`.
- [ ] Add custom pastel theme tokens and completion micro-animations to `lib/widgets/custom_widgets.dart`.

### Record

- [x] I agree to follow this project's Code of Conduct
- [x] I want to work on implementing this feature

貢獻指南

這個儲存庫沒有索引到貢獻指南

研究方向

Start by reading lib/services/ai_service.dart and the task, onboarding, and widget paths named in the proposal to understand the existing task flow and Gemini integration. Done would require an agreed scope covering energy selection and matching, single-task focus mode, pastel theme tokens, and completion micro-interactions; the issue does not identify tests or a narrower entry point.

由索引模型根據 Issue 內容生成。

評估

技術堆疊
dart, flutter
領域
ai, frontend, mobile
Issue 類型
功能
難度
5/5
預估耗時
一週以上
活躍度
冷清
描述清晰度
需要釐清
新手友好度
25/100

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。