RideFlow

智能骑行助手 | Intelligent Cycling Assistant

基于SwiftUI构建，结合Combine和CoreData，提供流畅的骑行体验
Built with SwiftUI using Combine and CoreData for a smooth riding experience

应用简介 | App Introduction

RideFlow是一款专为骑行爱好者设计的智能骑行助手，结合了先进的GPS追踪和大语言模型技术，为您提供全方位的骑行体验。无论您是专业骑手还是休闲骑行者，RideFlow都能满足您的需求。

RideFlow is an intelligent cycling assistant designed for cycling enthusiasts, combining advanced GPS tracking and large language model technology to provide a comprehensive riding experience. Whether you're a professional rider or a casual cyclist, RideFlow can meet your needs.

主要功能 | Features

• 实时追踪位置并在地图上绘制路径 | Track current location and draw path on the map
• 显示当前/平均速度、距离和骑行时长 | Show current/average speed, distance and duration of the ride
• 可调整地图和仪表盘视图大小 | Adjustable size on the map and gauges view
• 计算估计平均功率输出和卡路里消耗 | Calculates estimated average power effort and weight loss
• 支持导入GPX文件并生成骑行摘要 | Imports GPX files into rides with summary
• 支持将骑行数据导出为GPX格式 | Exports rides as GPX
• 集成大语言模型，提供智能骑行建议 | Integrated with large language models for intelligent riding suggestions
• 骑行数据分析与统计 | Riding data analysis and statistics
• 个性化骑行计划推荐 | Personalized riding plan recommendations
• 骑行路线规划与导航 | Route planning and navigation

技术特点 | Technical Features

• 高精度GPS追踪 | High-precision GPS tracking
• 低功耗设计，延长电池寿命 | Low power design for extended battery life
• 本地化大语言模型，保护隐私 | Localized large language model for privacy protection
• 基于MLXLMCommon的AI模型集成 | AI model integration based on MLXLMCommon
• SwiftData与CoreData结合的数据存储方案 | Data storage solution combining SwiftData and CoreData

技术架构 | Technical Architecture

RideFlow采用了现代iOS应用架构设计：

• UI层：SwiftUI + Combine
• 业务逻辑层：MVVM架构
• 数据层：CoreData + SwiftData
• AI集成：本地化大语言模型
• 依赖注入：自定义依赖注入框架

安装方式 | Installation

1. 从App Store下载安装 | Download from App Store
2. 开发者可克隆仓库自行构建 | Developers can clone the repository and build it themselves

   git clone https://github.com/chenjy16/rideflow.git
   cd rideflow
   open rideflow.xcodeproj