My AI Journey
My journey into the world of artificial intelligence (AI) began with a deep curiosity about how technology can solve complex problems and drive innovation. I became fascinated by the potential of AI to transform industries, enhance decision-making, and create new solutions to global challenges.
I created a Sustainable Farming Machine Learning model in order to predict and optimize crop yield as part of winter research at InspiritAI.
I also compared the performance of numerous models such as Linear Regression, Decision Trees, K Neighbour Regression, and MLP Regression.
AI and Research
Early Exploration
My first steps into AI were rooted in learning the fundamentals of programming and data science. Through coursework, online resources, and hands-on projects, I gained experience in coding languages such as Python and R, and began understanding how algorithms, machine learning models, and data structures form the foundation of AI. This early exploration opened my eyes to the vast possibilities AI holds in fields like finance, healthcare, and environmental sustainability.
Building Expertise
I deepened my knowledge by working on projects that involved training machine learning models, analyzing large datasets, and understanding how AI can be applied in real-world scenarios. I explored various AI applications, including natural language processing, computer vision, and predictive analytics, and gained experience with popular AI frameworks like TensorFlow, PyTorch, and Scikit-learn. My work also led me to study the ethical implications of AI, recognizing the importance of responsible AI development.