Traffic sign classification using fine-tuned VGG-16 with TensorFlow.
Fine-tuned a pre-trained VGG-16 model to classify 43 traffic sign classes from the GTSRB dataset. Implemented dataset preprocessing, model training, evaluation, and visualization pipeline. Demonstrated transfer learning performance on limited data.
AI-based gait analysis using deep learning and signal processing for motion understanding....
Character-level music generation using LSTM-based RNNs trained on symbolic music data....
Implemented CNNs and DB-VAE for bias mitigation in facial detection systems....