Degree Objective One

This presentation explores the fascinating intersection of robotics and artificial intelligence, tracing the historical development of robotics, key milestones in AI integration, and real-world applications in fields like healthcare, manufacturing, and beyond. Through engaging slides featuring diagrams, timelines, and futuristic visuals, I demonstrated how these technologies are converging to create intelligent, autonomous systems. This project highlights my research, design choices, and enthusiasm for emerging tech that shapes our future.

This research paper investigates advancements in robotic tactile sensing, focusing on innovative technologies like SonicSense - a system developed at Duke University that enables robots to perceive objects through acoustic vibrations, mimicking human-like touch by "listening" to interactions rather than relying solely on vision or traditional sensors. Drawing from historical timelines of robotic hands (e.g., from "A Century of Robotic Hands" review) and patent searches in the U.S. Copyright Office and public databases, I explored prior art, current challenges in material identification and object manipulation, and potential industry disruptions or new applications.

This project examines the role of artificial intelligence in modern agriculture through a series of AI-generated prompts and responses using tools like Google Gemini. I explored key applications such as precision farming, predictive analytics for crop health and weather, automated irrigation, pest detection, and robotic systems, while weighing benefits like increased yields, resource efficiency, reduced waste, and potential for sustainable practices against drawbacks including job displacement in manual labor, high implementation costs, data privacy concerns, and uneven access for small-scale farmers. The persuasive argument section advocates for balanced adoption of AI-powered farming to address global food security challenges - such as hunger affecting hundreds of millions - while mitigating negative socioeconomic impacts through hybrid human-AI models and supportive policies. This work showcases my ability to critically analyze emerging technologies, synthesize information from AI outputs and external sources, and construct evidence-based arguments on real-world tech implications.

This assignment analyzes the article "How to Create an AI Digital Marketing Strategy" from the Digital Marketing Institute, which outlines a practical nine-step framework for integrating artificial intelligence into digital marketing efforts to achieve business objectives more efficiently. I summarized the steps - from assessing current strategies and defining goals to selecting AI tools, segmenting audiences, automating campaigns, testing, and measuring performance - while critically examining ethical and risk-related implications such as algorithmic bias, lack of transparency, privacy violations, job displacement, and the potential for misinformation or disinformation generated by AI. The paper also addresses compliance with evolving governmental regulations on AI use in marketing, noting the need for legal consultation and a robust framework to ensure responsible implementation. This work demonstrates my ability to synthesize industry insights, evaluate emerging technologies' opportunities and challenges, and apply critical thinking to real-world digital marketing applications.

This project applies the design thinking process (Empathize, Define, Ideate, Prototype, Test) to address the real-world problem of costly and inconvenient roof damage inspections, which often lead to undetected issues, interior damage, higher insurance premiums, and safety risks from manual ladder-based checks. Through empathy research on user needs - like affordable, frequent, accurate, and safe inspections - I challenged assumptions about traditional methods and ideated "Rescue Roofer," a conceptual AI-powered electronic scanner device that attaches to the roof's highest point, performs automated scans for damage (weak shingles, flashing issues, wind damage), and sends real-time text alerts with findings to the homeowner's phone. The prototype phase includes a sketch and polished visual of the device in action, while testing scenarios across different locations, evaluated feasibility factors like internet connectivity, cost, thermal regulation, and success rates. This work showcases my creative problem-solving, user-centered innovation, and enthusiasm for leveraging technology to enhance home maintenance and prevent catastrophic roof failures.