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Copilot AI commented Dec 7, 2025

Documented all frontend and backend technologies used in the repository as requested.

Changes

  • TECH_STACK.md - Complete breakdown of:

    • Backend: Flask 3.0.3, NumPy 2.1.1, Pandas 2.2.3, PySerial 3.5
    • Frontend: HTML5, CSS3, Vanilla JS (ES6+), Plotly.js 2.35.2 (CDN)
    • Hardware: Arduino + MQ-135 sensor (10 gas types)
    • Deployment: Vercel serverless with @vercel/python
    • Services: Formspree for form handling
    • API structure, data flow pipeline, algorithms (AQI thresholds, gas simulation)
  • README.md - Added quick reference section linking to full documentation

Architecture Overview

[MQ-135 Sensor] → [Arduino] → [PySerial] → [Flask Backend]
                                                ↓
                                    [NumPy calculations + threading]
                                                ↓
                                    [JSON API @ /data endpoint]
                                                ↓
                                    [Frontend Fetch (1s interval)]
                                                ↓
                                    [Plotly.js real-time visualization]

Screenshot

The dashboard demonstrating the full stack integration:

Dashboard

Real-time features: Flask backend with NumPy-driven gas simulation, Plotly.js graphs updating every second, responsive CSS3 layout with gradient backgrounds and mobile-first table design.

Original prompt

Tell me what and all frontend backend stuffs used in this repi


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vercel bot commented Dec 7, 2025

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Project Deployment Preview Comments Updated (UTC)
air-quality-monitor Ready Ready Preview Comment Dec 7, 2025 11:07am

Co-authored-by: shield44 <80821792+shield44@users.noreply.github.com>
Co-authored-by: shield44 <80821792+shield44@users.noreply.github.com>
Copilot AI changed the title [WIP] Analyze frontend and backend technologies used in the repository Add comprehensive technology stack documentation Dec 7, 2025
Copilot AI requested a review from shield44 December 7, 2025 11:08
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2 participants