外部团队贡献项目External team contribution· 2026
HerJourney
更年期健康 AI 问答小程序Menopause health AI Q&A mini program
黑客松团队项目，面向更年期健康场景，用小程序 + AI 问答降低女性健康信息获取门槛。A hackathon team project that explores AI-supported health education, tracking, and companionship for menopause scenarios.
案例摘要Case summary
目标用户Audience
需要更年期健康信息、情绪支持和低门槛咨询入口的女性用户。Women who need menopause health information, emotional support, and a low-barrier consultation entry.
我的角色Role
黑客松团队项目中参与产品决策。仓库不在本人名下，不主张代码实现贡献；后续需补充具体决策范围。Participated in product decisions for this hackathon team project. The repo is not under my name, and I do not claim code implementation; the specific decision scope still needs evidence.
交付结果Outcome
在黑客松周期内完成健康问答产品原型，验证小程序入口与 AI 健康陪伴场景的组合。Completed a health Q&A product prototype within the hackathon cycle, validating the mini program entry combined with AI health companionship.
产品洞察Product insight
健康类 AI 产品不能只追求“回答得像人”。真正的难点是场景边界、语气可信度、风险提示和用户愿不愿意持续使用。A health AI product cannot just answer like a human. The real difficulty is scenario boundaries, tone credibility, risk warnings, and whether users keep coming back.
项目简介Overview
HerJourney 是外部黑客松团队项目，公开仓库归属 MJYu-0409。项目以微信小程序为入口，结合 FastAPI 后端与 AI 问答能力，服务更年期健康科普、咨询和陪伴场景。HerJourney is an external hackathon team project whose public repo belongs to MJYu-0409. It uses a WeChat Mini Program as the entry point, combined with a FastAPI backend and AI Q&A, serving menopause health education, consultation, and companionship scenarios.
技术栈Tech stack
结果证据Evidence
公开仓库地址为 MJYu-0409/HerJourney，README 显示项目围绕更年期健康 AI 问答小程序展开。The public repo is MJYu-0409/HerJourney; its README shows the project centered on menopause health AI Q&A in a mini program.
该项目作为黑客松团队贡献项目展示，避免与个人独立项目混淆。The project is shown as a hackathon team contribution to avoid confusion with solo projects.
关键决策Key decisions
健康类 AI 问答如果只追求流畅，会让用户误以为它能替代专业医疗建议。If health AI Q&A only pursues fluency, users may mistake it for a replacement for professional medical advice.
把产品定位放在科普、陪伴和低门槛信息获取上，保留健康场景的风险边界。Position the product around education, companionship, and low-barrier information access, keeping the health risk boundary explicit.
想看完整的代码和实现细节？Want the full code and implementation details?
在 GitHub 上查看View on GitHub