Food classification model using transfer learning on the Food101 dataset.
Trained transfer learning models (EfficientNetV2B0) with TensorFlow on Food101 dataset subsets. Compared feature extraction vs fine-tuning with and without data augmentation. Implemented checkpointing for best model saving and achieved robust food image classification.
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....