This project provides a powerful tool for stock market analysis and portfolio management, combining multiple forecasting models, technical analysis, and risk management features. Built with modern Python libraries and Streamlit for an intuitive user interface.

A comprehensive .NET backend API for efficient management of phone number top-ups, designed specifically for UAE's underbanked employees. Features robust beneficiary management, versatile top-up options, and secure transaction processing.

A machine learning-based project aimed at detecting and preventing credit card fraud in real-time. Credit Card Fraud Detection Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials