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.
An evidence-based AI system using RAG to generate ATS-optimized resumes from GitHub and research dat...
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....