1)Brain tumour classification using deep learning techniques
Developed a deep learning-based system for brain tumor classification to assist in early and accurate diagnosis. The project leverages convolutional neural networks (CNNs) to analyze medical imaging data, achieving high precision in identifying tumor types. This approach enhances diagnostic efficiency, supporting healthcare professionals in making informed decisions.
2)Software piracy protection
Designed a Software Piracy Protection System to safeguard software applications from unauthorized usage and distribution. The system implements license validation, encryption techniques, and secure authentication protocols to prevent piracy. It enhances software security, ensures compliance with licensing agreements, and protects intellectual property rights.
3)Fee reimbursement management system
Developed a Fee Reimbursement Management System to automate and streamline the reimbursement process for students. The system enables online application submission, document verification, real-time status tracking, and automated notifications, reducing manual efforts and improving efficiency. It ensures secure data handling, transparency, and timely disbursement of funds, providing a seamless experience for students and institutions.