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1. vit-vs-resnet-pet-classification vit-vs-resnet-pet-classification Public

   Fine-tuning ViT-B/16 vs ResNet-50 on Oxford-IIIT Pets (37 breeds): 93.7% vs 92.1% test accuracy, with confusion-matrix error analysis and attention-rollout visualizations. PyTorch.

   Python

2. car-purchase-prediction-ml car-purchase-prediction-ml Public

   Seven ML classifiers (Logistic Regression, KNN, SVM, Kernel SVM, Naive Bayes, Decision Tree, Random Forest) compared for predicting SUV purchases from age and salary: 93% test accuracy, 91% in cros…

   Jupyter Notebook

3. genai-rag-chatbot genai-rag-chatbot Public

   RAG chatbot over 8 AI research papers using open-source models (bge-small embeddings + Qwen2.5 LLM), with source citations and a 30-question evaluation of retrieval, answer accuracy and refusal beh…

   Python 1