Projects
项目作品展示，包含完整的开发背景、技术方案与实现细节。
BiliLive — Bilibili Live Streaming Viewer: Project Deep Dive
A Flutter-based Bilibili live streaming Android client. Forked from Simple Live, streamlined and optimized to focus exclusively on Bilibili live streaming, featuring category browsing, local favorites, and live room audio recording.
BiliLive — B 站直播观看工具项目深度解析
基于 Flutter 的哔哩哔哩直播观看 Android 客户端。从 Simple Live 项目 fork 后精简优化，专注 B 站直播体验，支持分区浏览、本地关注、直播间录音等特色功能。
KirinWiki Blog Project — Architecture & Technical Implementation
Complete technical implementation and architecture analysis of a personal blog built with Astro 6 + Tailwind CSS v4 + Three.js. Covers time-based themes, 3D scenes, and a custom-built music player.
KirinWiki 博客项目 — 架构与技术实现详解
基于 Astro 6 + Tailwind CSS v4 + Three.js 的个人博客站点的完整技术实现与架构解析。覆盖时基主题、3D 场景、自建音乐播放器等核心功能。
Online Examination — Project Deep Dive
An online examination platform built with ASP.NET Core 8.0 + Blazor Interactive Server, supporting admin exam creation and management, student participation via access codes, automatic grading, Chart.js data visualization, and mock tests.
Online Examination — 在线考试系统项目深度解析
基于 ASP.NET Core 8.0 + Blazor Interactive Server 的在线考试平台，支持管理员创建管理考试、学生通过访问码参加、自动评分、Chart.js 数据可视化与模拟测试。
Simple Recorder — Multi-Platform Live Audio Recording Tool: Project Deep Dive
A Flutter-based multi-platform live audio recording tool supporting Bilibili, Douyin, Douyu, Huya, and MaoerFM. Uses FFmpeg for pure audio stream copy, with parallel recording, background keep-alive, and file management.
Simple Recorder — 多平台直播音频录制工具项目深度解析
基于 Flutter 的多平台直播音频录制工具，支持 Bilibili/抖音/斗鱼/虎牙/猫耳FM 五大平台直播间音频录制。基于 FFmpeg 实现纯音频流拷贝，支持并行录制、后台保活与文件管理。
Flood Detection System — Project Deep Dive
A real-time water level detection system based on the PIC16F877A microcontroller, implementing ultrasonic + infrared dual-sensor fusion for flood monitoring under extreme resource constraints of 368 bytes RAM and a 4MHz clock.
Flood Detection System — 项目深度解析
基于 PIC16F877A 微控制器的实时水位检测系统，在 368 字节 RAM、4MHz 时钟的极端资源限制下实现了超声波+红外双传感器融合的洪水监测方案。
Smart Bakery Project Tech Stack — Python / FastAPI / RESTful API / Chart.js / Linux Automation
A systematic breakdown of core knowledge points in Python backend development, FastAPI, RESTful APIs, Chart.js data visualization, and Linux automation, drawing from the Smart Bakery (Flutter + Raspberry Pi IoT) and Online Exam Platform (Blazor + Chart.js) projects.
Smart Bakery 项目技术栈详解 — Python / FastAPI / RESTful API / Chart.js / Linux 自动化
从 Smart Bakery（Flutter + 树莓派 IoT）和 Online Exam Platform（Blazor + Chart.js）两个项目出发，系统性梳理 Python 后端开发、FastAPI、RESTful API、Chart.js 数据可视化与 Linux 自动化的核心知识点。