During my AI Internship, I worked on building and optimizing machine learning models for real-world applications. I gained hands-on experience in computer vision, natural language processing, and model training using Python, TensorFlow, and PyTorch. I contributed to data preprocessing, model evaluation, and deployment workflows, while also experimenting with techniques like transfer learning and data augmentation. Collaborating with the team, I developed solutions that improved prediction accuracy and efficiency. This internship sharpened my analytical thinking and gave me practical exposure to AI development pipelines, reinforcing my passion for using artificial intelligence to solve impactful problems.