Original Summary

Hey Everyone I've Been Working On AirSense For The Past Few Months — A Full-Stack Air Quality Monitoring Platform That Combines Real-Time Data With Generative AI. The Problem - Existing AQI Dashboards Just Show Raw Numbers. No Context. No Insights. No Actionable Advice. What AirSense Does • Real-Time Monitoring — Multi-Station AQI Dashboard With Live Updates Via Socket.IO • AI Health Advisories — Powered By Groq LLM For Real-Time Precautions • Anomaly Detection — Explains Unusual Pollution Patterns • Multi-Standard Compliance — WHO US EPA CPCB And EU • Forecasting Engine — Linear Regression Based Predictions Enhanced With AI • Pollution Source Attribution — Traffic Industrial Construction And More Tech Stack MERN + Groq LLM + Socket.IO + Tailwind CSS + Cloudinary + WAQI API Key Learnings • Forcing JSON Mode On LLM Responses Prevents Crashes • A cleanValue Helper Sanitizes AI Placeholder Outputs • Socket.IO Room-Based Subscriptions Make Real-Time Sync Efficient Would Love Feedback From This Community! Full Source Code - https://www.theprojectstack.com/   submitted by   /u/projectstack_dev [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/12 01:08:56