KantetiTeja

Kanteti T., based in Andhra Pradesh, India, is a highly motivated Computer Science Engineering student with a solid foundation in software development, machine learning, and IoT systems. He has gained hands-on experience by building real-time AI applications, deep learning models, and embedded systems projects. Notably, he has developed a hand gesture detection system with fatigue monitoring, leveraging Python and OpenCV for applications in driver monitoring and human-computer interaction. Additionally, he has implemented a deep learning model to detect brain strokes using Convolutional Neural Networks, optimizing model accuracy and supporting early medical intervention. Kanteti has also engineered an IoT-based smart energy meter utilizing Raspberry Pi, enhancing energy efficiency through real-time monitoring. His project for an automated plant watering system exemplifies his problem-solving skills through innovative use of sensors and microcontrollers. Proficient in Python, SQL, and tools such as VS Code and Power BI, he seeks an entry-level IT role to further harness his technical expertise.