PBEL Equivalent to Virtual Internship – AI | IBM Developer Skills Network Successfully completed the PBEL Virtual Internship in AI, offered by IBM Developer Skills Network, where I gained practical experience in deep learning and image processing. During the internship, I worked on a key project: Image Classification using Convolutional Neural Networks (CNNs): Designed and implemented a CNN model to classify images into multiple categories. Learned to preprocess image data, build and train deep learning architectures, apply activation functions, optimize model performance, and evaluate accuracy using standard metrics. Skills and tools acquired: Deep learning techniques with CNNs, including convolutional layers, pooling, dropout, and softmax classifiers Python programming and TensorFlow/Keras frameworks for model development Image preprocessing, augmentation, and dataset handling Model training, evaluation, and optimization techniques Applied AI/ML concepts to solve real-world problems in computer vision This internship enhanced my ability to apply deep learning techniques for image analysis and strengthened my understanding of neural networks, computer vision, and AI model deployment.