Taman Shekabba

Academic Projects: •Fraud Detection in Financial Transactions: Developed a machine learning model to detect fraudulent financial transactions with 80% accuracy. Used preprocessing techniques, feature selection, and evaluation metrics like precision, recall, and F1-score. Integrated a chatbot for real-time fraud alerts. •Sentiment Analysis System: Designed a sentiment analysis tool to classify customer feedback into positive, negative, and neutral sentiments using Natural Language Processing (NLP). Enhanced business decision-making by identifying trends in customer opinions. •GenAI Quiz Generator: Developed an AI-powered online learning platform that integrates Generative AI to dynamically create personalized quiz questions from PDF content. Implemented features such as user authentication, course enrollment, and progress tracking. Achievements: 3rd Place in IBM ICE Hackathon 2nd Runner-Up in IBM ICE National Hackathon 3rd Place in IBM Research Paper Presentation