- Engineered an innovative IoT system for Intelligent farming, enabling real-time monitoring and data-driven decision-making in greenhouse environments, significantly improving resource management and crop yield.- Designed and prototyped custom IoT sensor circuits, optimizing data accuracy, energy efficiency, and seamless integration into greenhouse ecosystems.- Containerized a Python-based fog layer application with Docker to process and analyze sensor data, ensuring consistent performance across infrastructures.- Implemented advanced communication protocols, including MQTT for reliable wireless data transmission and I2C for secure, high-speed serial communication, ensuring seamless data flow across the system.- Developed and deployed a deep learning regression model for Time series forecasting, achieving an 85% score, enhancing environmental condition predictions, and optimizing resource allocation.- Developed an intuitive real-time monitoring dashboard using Grafana and InfluxDB, delivering actionable insights through clear data visualization and supporting strategic decision-making.

Project Title: Optimize the greenhouse IoT integrity performances Managing lightweight PAYLOAD coding, encryption, and transportation using the MQTT protocol in different IoT static and dynamic networks’s topologies to preserve greenhouse vital