This project aims to develop a smart poultry farm system that utilizes hardware sensors and a mobile application to monitor and control environmental conditions and production parameters. Sensors for temperature, humidity, ammonia, and light intensity collect data and send it to a cloud server via a wireless network. The mobile app allows users to access this data and remotely control actuators like fans, heaters, feeders, and waterers. AI analyzes the data to optimize production efficiency and animal welfare, contributing to the sustainability and profitability of the poultry industry by reducing labor costs, energy consumption, and environmental impact.

Our company provides a comprehensive solution for smart agriculture, consisting of an IoT-based hardware unit and a mobile application. The hardware unit features multiple sensors that collect soil data, which is then transmitted to a cloud-based machine learning algorithm. This algorithm processes the data and sends feedback to the client’s mobile application. The mobile app facilitates interaction with the processed data, providing notifications and guidelines for optimal irrigation schedules. Additionally, the app allows users to communicate with experts for advice on various agricultural issues and displays the latest offers and prices for soils and supplementary materials, enabling direct purchase and delivery.

Our water quality system leverages Big Data Analytics and IoT within Egypt’s smart city initiatives. Utilizing AI and IoT, the system enhances data collection and analysis accuracy and efficiency. IoT sensors monitor water quality parameters such as temperature, pH, and dissolved oxygen levels in real-time, providing insights via a mobile application. This enables the identification of potential contamination sources and the implementation of corrective actions to prevent waterborne diseases. Additionally, we cater to a wide range of industry clients who require this advanced solution.