🌦️ AI Weather Station MVP

Welcome to the official Wiki of the AI Weather Station MVP — a beginner-friendly Arduino project that mimics basic AI weather forecasting using environmental sensors.

This project is ideal for students, makers, and developers who want to explore embedded systems, sensor integration, and rule-based forecasting logic.

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🚀 Project Overview

The AI Weather Station MVP collects temperature, humidity, and atmospheric pressure using an Arduino UNO, and provides simple forecasts like:

• 🌧️ Rain Possible
• ☀️ Clear Day
• 🌤️ Stable Weather

It uses basic if-else rules (simulating AI) to interpret the data and generate forecasts.

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📦 Components Used

Component	Description
Arduino UNO	Main microcontroller
DHT11 Sensor	Measures temperature and humidity
BMP180 Sensor	Measures atmospheric pressure
Breadboard + Wires	Prototyping setup
USB Cable	Power and data upload

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🔗 Wiki Navigation

• 📘 Getting Started
• 💡 Code Logic Explained
• ⚙️ Circuit Diagrams
• 🔮 Future Enhancements
• ❓ FAQ

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🧠 Forecast Logic (Rule-Based AI)

If Humidity is High AND Pressure is Low → "Rain Possible"
If Humidity is Low AND Pressure is High → "Clear Day"
Else → "Stable Weather"