Credit-Card Fraud Detection System using ML Overview:This project focuses on detecting fraudulent credit card transactions using advanced machine learning techniques. Leveraging a neural network with entity embeddings for categorical variables, the system was designed to handle an imbalanced

College Chat Bot Overview:I led the creation of an AI-powered chatbot designed to assist students with inquiries about the “Professional Seminar 2” course. The project utilized advanced AI techniques, including Retrieval-Augmented Generation (RAG), to provide accurate and contextually

Spam Detection with LSTM and Attention Summary: Developed a spam detection system using a neural network with Long Short-Term Memory (LSTM) layers and an attention mechanism. This project aimed to classify emails as spam or not spam, leveraging

Image-Captioning-with-ViT-GPT2 Summary Engineered an advanced image captioning system that seamlessly combines a Vision Transformer (ViT) and GPT-2 to generate highly descriptive and contextually relevant captions for images. This project showcases the integration of state-of-the-art deep learning models to

Levno for Faults Helping Levno Administrators to Manage Faults Part of creating new and innovative hardware is occasionally things will go wrong. This interface was designed to make it easy for Levno administrators to deal with faults from

Levno “Skim Milk” App An app for milk suppliers to monitor their milk Levno allows customers to have peace of mind by allowing them to monitor their milk wherever they are. Users can login to their dashboard and