Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
2nd price winner at the Unisys Innovation Program Y14(2023) for the project "Breast Cancer detection using Quantum ML and Quantum DL and comparison with ML and DL"
This project addresses the security problem of visible encrypted messages since encrypted data draws suspicion. It describes the concept of Reversible Data Hiding (RDH) method based on Steganography.
This project helps detect Pneumonia using the VGG-16 model. Data is collected(X-Ray) and we train the machine by using the VGG-16 model, we then calculate and get an accuracy of 97.24%. Which is better than other models.
This project aims to compare the performance of conventional machine learning and deep learning algorithms with quantum machine learning and deep learning algorithms for breast cancer detection, with the goal of identifying the potential of quantum computing in healthcare.