An NLP project that compares different approaches to document representation and classification. The techniques used include Topic-modeling, Tf-Idf, doc2vec, SVM, and CNN

Classifying Alzheimer Brain MRI Images with neural nets

Detect Pneumonia from X-ray images of patients from the trained Convoluted Neural Network using Keras.

Using image recognition and neural network modeling

Emotion Detection is a real-time facial expression recognition system built with TensorFlow and OpenCV. It classifies seven emotions—Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise—using a CNN trained on the FER-2013 dataset. The model supports both webcam-based and image-based emotion detection.

Repo for training a CNN for CIFAR10 classification