ProjectsProposed

This project focuses on the design, development, and implementation of an autonomous mobile robot capable of real-time navigation and obstacle avoidance in dynamic environments. Robotics is a multidisciplinary field that integrates mechanical engineering, electronics, control systems, and computer science to create intelligent machines that interact with the physical world.

This project investigates advanced methods in digital signal processing (DSP), with a particular focus on real-time data analysis and noise reduction in modern communication systems. Signal processing plays a critical role in a wide range of technologies, including wireless communication, audio and video transmission, biomedical instrumentation, and industrial monitoring. In today’s increasingly data-driven world, the demand for efficient, accurate, and real-time processing of signals has grown significantly.

This project explores the design and implementation of supervised machine learning models for predictive data analysis, with a focus on real-world applications such as healthcare, finance, and smart systems. Machine learning (ML) has emerged as a key driver of modern data science, enabling systems to learn patterns from data and make intelligent decisions without explicit programming.

The project begins with data preprocessing techniques such as normalization, feature selection, and handling missing values.

This project focuses on Quantum Key Distribution (QKD), a cutting-edge technology that leverages the principles of quantum mechanics to enable ultra-secure communication. Unlike classical encryption methods, QKD provides information-theoretic security by allowing two parties to generate a shared cryptographic key that is fundamentally protected against eavesdropping.