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THE FLOOD SHEILD PROJECT

                             Ms. Preethi Elizabeth Iype                             

Assistant Professor-Bachelor of Technology

Department of Electronics and Communication Engineering

St.Thomas Institute for Science and Technology,

Trivandrum

Dravid R K, Ameen M, Rohan K Thomas, Rahul A R

Student-Bachelor of Technology Department of Electronics and Communication Engineering

St.Thomas Institute for Science and Technology,

Trivandrum

Abstract -

Flooding is a natural disaster that can have devastating effects on communities, causing damage to infrastructure, property, and posing significant risks to lives. To address these challenges, this project proposes a comprehensive flood detection and prevention system that integrates Internet of Things (IoT) sensors, fuzzy logic algorithms, and GSM communication technology. The system utilizes an Arduino Uno microcontroller to interface with a network of sensors, including rain sensors, water flow sensors, and ultrasonic sensors, strategically placed to monitor key environmental parameters such as rainfall intensity, water flow rate, and water levels. The sensor data is continuously collected and analysed using fuzzy logic algorithms to assess flood risks in real time. When a potential flood risk is identified, the system activates preventive measures, such as activating warning systems and sending alerts to authorities and residents via GSM communication. The project aims to enhance flood resilience and response capabilities, providing a scalable and effective solution to mitigate the impact of flooding on communities.

Keywords : Flooding, natural disaster, Internet of Things (IoT), sensors, fuzzy logic, Arduino Uno, GSM communication, rainfall intensity, water flow rate, water levels, risk assessment, warning systems