The MHRoberta is Mental Health Roberta model. The pretrained Roberta transformer based model fine-tunned on Mental Health dataset by adopting PEFT method.

Code for classifying pet image dataset using a supervised learning approach: Stacking and Neural Network with freezing layer.

A deep learning project for 7-class Facial Expression Recognition with post-hoc explainability using LIME and SHAP. Two CNN architectures — ResNet-50 and EfficientNet-B0 — are trained and evaluated on FER2013 and RAF-DB, with pixel-level and region-level explanations generated for every prediction.

This project implements a deep learning pipeline for car image classification using ResNet-based Convolutional Neural Networks (CNNs)