Krrish Parashar

In my research paper, I've focused on the utilization of Arduino Uno as a central controller in robotic systems, particularly highlighting its integration with Bluetooth technology for wireless communication and remote-control functionalities. My methodology outlines the simple design and implementation of Arduino-controlled robotic vehicles, showing and implementing innovations such as obstacle detection, gesture recognition, voice control, smartphone connectivity, and IoT integration. By analyzing existing literature and projects, I aim to highlight the diverse applications and advancements in Arduino-based robotics, paving the way for future developments in this rapidly evolving field. One key aspect of my research is the in-detail analysis of various studies and projects showcasing the versatility, adaptability, and ease-of-use of Arduino Uno in shaping and advancing the future of robotics. I have explored various approaches to robotic control, ranging from hand-gesture controls to Android app-operated systems, each offering unique benefits with applications. By examining these projects, I aim to identify trends, challenges, and future scope for Arduino-based robotics, providing essential insights for researchers, developers, and enthusiasts to help them create better robotic technologies by using Arduino Uno. In this research, I have explored and implemented the key advantage of Arduino Uno, which is its high levels of modularity, and its ability to support a wide variety of sensors, devices, and act as a central controller for all the modules and devices efficiently.

As a diligent student pursuing Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at Chandigarh University, I am passionate about leveraging cutting-edge technologies to solve real-world problems. With a strong foundation in programming languages such as Python, Java, and C++, coupled with coursework in data science, machine learning algorithms, and neural networks, I am equipped with the skills to thrive in the dynamic field of AIML. Through internships and projects, I have honed my ability to analyze complex data sets, develop innovative solutions, and collaborate effectively within interdisciplinary teams. Eager to contribute my enthusiasm and expertise to forward-thinking projects in the ever-evolving landscape of AI and machine learning.