压缩包共206个文件，含56个Python源码（含模型训练、推理、Flask后端及前端交互逻辑）、21个YAML配置文件（定义网络结构与超参数）、96个pyc编译文件、3个MP4演示视频、3个JPG测试图像及Dockerfile、HTML页面等，整体140.63MB，结构完整覆盖数据预处理、模型调用、跟踪算法集成与Web服务封装全流程。

最终选型是 Python + Flask 做后端，原生 HTML/CSS/JavaScript 做前端，SQLite 做数据库。 先聊聊为什么后端选 Flask。 Python 目前依然是 AI 生态最友好的语言，不管是调用大模型接口、做数据处理还是后续加机器学习能力，Python 生态的第三方库都非常成熟。

A web-based Digital Wallet Management System developed as an MCA mini project. The system allows users to securely manage their wallet, add money, transfer money to other registered users, and manage ...

A beginner-friendly machine learning project that predicts the selling price of a used car from its details (brand, model, year, kilometers driven, fuel type and more), with a small website where you ...

Recently, I built a web tool using Next.js and published it on Vercel.Vercel is convenient because you can easily publish ...

Every day, wastewater treatment plants around the world process billions of liters of sewage, and hidden in that water are ...