Explainable deep learning platform for Brain MRI classification using VGG16, ResNet50 and EfficientNetB0 with Grad-CAM visualization. Achieved 94.69% classification accuracy.

Transformer-based fake news detection using DistilBERT, HuggingFace and PyTorch. Achieved 82% accuracy in binary text classification.

CNN-based wildlife image classification using PyTorch and OpenCV. Achieved 85% classification accuracy with confusion matrix evaluation.

Enterprise web application developed using ASP.NET and React for managing physical training operations with scalable backend APIs and modern frontend architecture.

Enterprise web application developed using ASP.NET and React for managing library operations with scalable backend APIs and modern frontend architecture.