AI Model Data Labeler & Training Data Curator, Final Year Research Project
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ClassificationIn my final year university research, I built and trained a neural network model to predict West African climate behaviors using labeled atmospheric data. My labeling work focused on preparing and verifying input variables—such as temperature, humidity, and pressure—and associating them with accurate climate outcomes under physics-informed constraints. The labeling process directly influenced model training, ensuring that input and output data corresponded reliably to real-world phenomena. • Labeled and validated climate variables for AI model inputs and outputs. • Ensured compliance with physics laws through data curation and result checks. • Used Jupyter Notebook and Python tools for data annotation and model training. • Responsible for the quality and consistency of data fed to neural networks.