Weather Window: Weather Monitoring System 🌦️

📜 Abstract

• Objective: Develop a Raspberry Pi-based weather observation system.
• Features: Measures temperature, humidity, and atmospheric pressure.
• Alerts: Activates alerts through email, LED signals, or auditory alarms upon threshold breaches.
• Integration: Utilizes AWS Lambda and AWS SNS for efficient email notifications.

🛠️ Prerequisites

• Raspberry Pi with internet access.
• DHT11 sensor (or compatible) for environmental readings.
• Python 3.
• An AWS account for AWS Lambda, AWS IoT Core, and AWS SNS.
• Required Python libraries: Adafruit_DHT, awscrt, boto3, awsiot.
• Terraform for infrastructure provisioning.

📦 Installation

1. Clone the Repository:

   git clone https://github.com/dragonscypher/Weather-Window.git

2. Install Dependencies:

   pip install Adafruit_DHT awscrt boto3

⚙️ Configuration

• Fill in AWS IoT Core details and other AWS resource information in the Python script.
• Set email credentials as environment variables:

  export MY_EMAIL_PASSWORD='your_secure_password'

• Terraform is used to create the required AWS infrastructure, including AWS IoT Thing, Lambda functions, and a DynamoDB table for storing sensor data.

🚀 Usage

1. Provision AWS Resources: Run Terraform to create the necessary AWS resources:

   terraform init
   terraform apply

2. Start the System:

   python mqtt_email_notification.py

3. Monitor weather data, store it in DynamoDB, and receive alerts based on set thresholds.

📝 Project Overview

The Weather Monitoring System, "Weather Window," leverages AWS IoT Core to collect and send weather data (temperature and humidity) from a DHT11 sensor connected to a Raspberry Pi. The collected data is published to AWS IoT Core using MQTT, stored in a DynamoDB table, and notifications are sent using AWS Lambda functions and SNS.

Key Features:

• AWS IoT Core Integration: The system uses MQTT to publish sensor data to AWS IoT Core, ensuring real-time updates.
• Data Storage: Weather data is stored in DynamoDB for historical reference and analysis.
• AWS Lambda: Lambda functions are used to process messages, store data, and send alerts.
• Notifications: Email notifications are sent using AWS SNS based on threshold values for temperature and humidity.

🗺️ System Architecture

The system architecture for "Weather Window" involves multiple components working together to provide real-time weather monitoring and alerting. Below is a high-level overview:

1. Raspberry Pi: Collects data from the DHT11 sensor and publishes it to AWS IoT Core using MQTT.
2. AWS IoT Core: Serves as the central messaging broker that receives data from the Raspberry Pi.
3. AWS Lambda Functions: Processes the incoming data, stores it in DynamoDB, and triggers alerts.
4. AWS DynamoDB: Stores weather data for historical reference and analysis.
5. AWS SNS: Sends email notifications when the data breaches the defined thresholds.

💡 Contributing

Your contributions are welcome! Open an issue or pull request to suggest changes or additions.

📄 License

This project is under the MIT License.