Covid 19 Prediction using Deep learning methods
Deep Learning
A website created to check patients' chest x-rays and CT scans to find those who are impacted by COVID-19 in the population. The front-end development tools for this application are HTML and CSS, while the back-end development tools are Python and Flask. Given that the domain of this application is solely deep learning, a deep learning model like VGG16 is constructed, evaluated, and trained using a sufficient dataset to accurately categorize medical images.
My RoleAs a Developer, I developed,tested and trained the Deep learning models and Deployed the trained model by using Python Flask. Even I developed front-end for the Web App by uisng HTML and CSS.
Gesture Based Tool for Manipulating Radiology Images
Artificial Intelligence
A web applicatin built to manipulate the Radiology images by using the hand gestures. This helps the doctors and hospital lab assistnts to manipulate the images without making any physical contacts with the machines. The front-end development tools for this application are HTML and CSS, while the back-end development tools are Python and Flask. Given that the domain of this application is solely deep learning, a deep learning model was constructed, evaluated, and trained using a sufficient dataset to accurately manipulate medical images.
My RoleAs a Developer, I developed,tested and trained the Deep learning models and Deployed the trained model by using Python Flask. Even I developed front-end for the Web App by uisng HTML and CSS.
E-Bonafide Certificate Generation
Web Development
A web site is built to generate the E-Bonafide certificates for the studets by fetching the students data from the database to reduce the process time to recieve the certificates from the management. This we site is developed by using HTML ,CSS and JavaScript.
My RoleAs a Developer, I developed front-end and back-end for this application by using HTML, CSS and JavaScript.