"Flight Parameter Monitoring and Alerting System by IoT" is a cutting-edge aviation safety solution that leverages the power of IoT technology to monitor crucial flight parameters. This system integrates pressure sensors, temperature sensors, gas sensors, and a DHT11 sensor, enabling comprehensive data collection for aircraft monitoring. To ensure the utmost security of sensitive flight data, the system employs the Advanced Encryption Standard (AES) algorithm to protect information as it's transmitted and stored in the cloud.   This innovative system utilizes a Raspberry Pi-based central hub, which connects to an array of sensors distributed across the aircraft. These sensors continuously gather real-time data on pressure, temperature, gas levels, and humidity. The collected data is securely encrypted using the AES algorithm before being transmitted to a cloud-based platform. The cloud platform not only stores the encrypted data but also provides real-time analysis and alerts for irregularities in flight parameters.   By implementing AES encryption, the system safeguards the confidentiality and integrity of flight data, preventing unauthorized access and tampering. This encryption ensures that only authorized personnel can access and decipher the critical flight parameter information stored in the cloud.   The "Flight Parameter Monitoring and Alerting System by IoT" enhances aviation safety by not only providing real-time insights but also by prioritizing the security of sensitive flight data. This system represents a significant step forward in aviation technology, ensuring both the safety and confidentiality of flight parameter monitoring, which is essential in the modern era of aviation.         Features:

1. Real-time Parameter Monitoring: Continuously monitors critical flight parameters including pressure, temperature, gas levels, and humidity, providing real-time data insights.

 

2. Advanced AES Encryption: Utilizes the robust Advanced Encryption Standard (AES) algorithm to protect flight data, ensuring secure transmission and storage in the cloud.

 

3. Cloud-based Analysis and Alerts: Employs a cloud-based platform for data storage and analysis, generating instant alerts for any irregularities in flight parameters.

 

4. Enhanced Aviation Safety: Integrates IoT technology to enhance aviation safety and confidentiality, offering a comprehensive solution for monitoring and securing vital flight parameter data.

            The major building blocks of this project are:

• R P S
• Raspberry Pi3 Processor.
• SD Card.
• Pressure sensor Bmp180
• LED indicators.
• DHT11
• Gas sensor
• LCD
• Buzzer
• Wi-Fi.

            Software’s used:

1. Python Language.
2. Raspbian OS.

                     

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