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Air-Quality-Trends-Analysis-Project
Full-stack air quality analytics platform built with FastAPI, React, and MySQL. Aggregates multi-source PM2.5/PM10 data, performs multi-city comparison and time-series forecasting (SARIMAX), and integrates an LLM-based planning agent with tiered access, secure APIs, and PDF reporting.
26stars
8forks
JavaScript
academic-projectagentic-aiair-qualityapi-developmentdata-engineeringdata-pipelinesdata-visualizationenvironmental-analyticsfastapiforecastingfull-stack-projectjwt-authentication
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via npx (Node)
Universal installANY TOOL
$ npx skillcity@latest dyneth02/Air-Quality-Trends-Analysis-ProjectAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
npx -y air-quality-trends-analysis-project
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"air-quality-trends-analysis-project": {
"command": "npx",
"args": [
"-y",
"air-quality-trends-analysis-project"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
air-quality-trends-analysis-project — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt