A web-based auxiliary toolbox for climbers, developed with AI assistance and deployed via GitHub Pages. The project aims to evolve into a comprehensive training management platform.
- Description: Addresses the inconvenience of operating screens with chalked hands and the difficulty of accurately timing complex, nested training protocols.
- Features:
- Unrestricted structured timer with offline and voice-control support.
- Fully automated training log and calendar statistics system.
- Future Plan: Hardware integration with Bluetooth crane scales for automated training volume tracking.
- Description: Addresses the difficulty of preserving route details amidst frequent gym resets and reduces communication costs when explaining movements.
- Features:
- Manual hold marking for rapid route diagram generation.
- Image export and instant record sharing.
- Future Plan: Implementation of smart hold recognition and personal cloud albums.
- 2026.02.25: Hangboard v1 Released.
- 2026.02.13: HoldFocus v1 Released.
- Image Analysis Evolution: Transitioning from static marking to video analysis for trajectory tracking and center-of-gravity evaluation.
- Gear Database: A structured database for climbing shoe specifications and performance comparisons.
- Frontend UI: Vanilla JavaScript, Tailwind CSS.
- Backend & Cloud: Firebase App, Firebase Auth (Google Login integration), and Firebase Firestore (v10.12.0).
- Email: chanwunkong@gmail.com
這是一個透過人工智慧輔助開發、部署於 GitHub Pages 的網頁端攀岩輔助工具。專案目標是演進為全方位的攀岩訓練管理平台。
- 描述： 解決訓練時雙手滿是粉末不便觸碰螢幕，以及複雜巢狀訓練難以精準計時的痛點。
- 功能：
- 無限制結構化計時器，支持離線或聲控。
- 全自動訓練日誌與日曆統計系統。
- 未來規劃： 支援藍芽吊秤連動，讓訓練量自動量化紀錄。
- 描述： 解決岩館路線更新頻繁難以留存細節，以及向他人解釋動作時溝通成本高的問題。
- 功能：
- 手動標記岩點，快速產出路線示意圖。
- 支援圖片導出與即時紀錄分享。
- 未來規劃： 考慮加入智慧岩點辨識與個人雲端相簿。
- 2026.02.25： Hangboard v1 發布。
- 2026.02.13： HoldFocus v1 發布。
- 影像分析演進： 從靜態影像轉向動態影片分析，自動捕捉攀爬軌跡並利用 AI 評估重心偏移。
- 裝備資料庫： 建置結構化的岩鞋規格資料庫，提供性能對比與資料檢索。
- 前端介面： 原生 JavaScript、Tailwind CSS。
- 後端與雲端： Firebase 核心、Firebase Auth (Google 登入) 與 Firebase Firestore (版本 10.12.0)。
- Email: chanwunkong@gmail.com