Project Icon

automatron

TypeScript开发的LINE机器人助手实现家庭自动化和支出跟踪

automatron是一个基于TypeScript开发的LINE机器人助手,部署在Google Cloud Run平台上。它集成了家庭自动化控制、支出跟踪、交易汇总和图像文字识别等功能,旨在简化日常任务。该项目采用Rush管理的monorepo结构,包括核心服务和Web界面两个子项目。项目利用Google Cloud IoT Core进行家庭设备控制,通过Airtable存储支出数据,并集成了Google Cloud Vision API实现图像文字识别。automatron为开发者提供了一个探索实用机器人开发的示例,展示了如何将多种功能整合到单一聊天机器人中,以及如何利用云服务构建复杂的个人助手系统。

automatron

This is my personal LINE bot that helps me automate various tasks of everyday life, such as home control (air conditioner, lights and plugs) and expense tracking (record how much I spend each day). See below for a feature tour.

I recommend every developer to try creating their own personal assistant chat bot. It’s a great way to practice coding and improve problem solving skills. And it helps make life more convenient!

It is written in TypeScript and runs on Google Cloud Run on top of evalaas JavaScript-execution platform.

features

home automation

home automation

I have a Raspberry Pi set up which can control lights, air conditioner, and smart plugs. It receives commands via Google Cloud IoT Core, performs the action, and then reports back to automatron via its API.

expense tracking

expense tracking

Simple expense tracking by typing in the amount + category. Example: 50f means ฿50 for food. Data is saved in Airtable.

On mobile, tapping the bubble’s body (containing the amount) will take me to the created Airtable record. This allows me to easily edit or add remarks to the record. Tapping the bubble’s footer (containing the stats) will take me to Airtable view, which lets me see all the recorded data.

transaction aggregation

transaction_aggregation

I set up IFTTT to read SMS messages and send it to automatron. It then uses transaction-parser-th to parse SMS message and extract transaction information. It is then sent to me as a flex message.

quick_replies

In mobile phone, quick reply buttons lets me quickly turn a transaction into an expense record by simply tapping on the category.

auto_expense

Certain kinds of transactions can be automatically be turned into an expense, for example, when I take BTS Skytrain using Rabbit LINE Pay card. Having many features in one bot enabled this kind of tight integrations.

image-to-text

image_to_text

automatron can also convert image to text using Google Cloud Vision API.

livescript evaluation

livescript

LiveScript interpreter is included, which allows me to do some quick calculations.

cli / api

api

POST /text sends a text command to automatron. This is equivalent to sending a text message through LINE. This allows me to create a CLI tool that lets me talk to automatron from my terminal.

POST /post sends a message to my LINE account directly. This allows the home automation scripts to report back to me whenever the script is invoked.

project structure

This project is a monorepo managed by Rush. It contains multiple subprojects:

  • core — The core automatron service running on Google Cloud Run.
  • webui — The web-based UI running on Vercel.

other projects

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号