Bangla Handwritten Character Recognition
Developed an Autoencoder-based outlier detection model and used DCGAN to balance class distributions. Trained ResNet-50 classifiers achieving 97.95% test accuracy (vs 97.63% baseline). Python, TensorFlow, Keras, OpenCV.