Dedicated Computer Science and Technologies student seeking hands-on experience in a real-world environment. Eager to contribute by providing practical and actionable solutions to current challenges. Quick learner, open to new ideas, and excited to make a meaningful impact in the field.
SMART HOSPITALIZATION WEBSITE:
As part of a team of five members, I contributed to the creation of a user-friendly website's front-end using HTML, JavaScript, and CSS. I also utilized PHP and Java technologies to develop the back-end functionalities which were integrated with a secure MySQL database for safe storage and management of user medical information. To improve the user experience and ensure proper health management, I implemented features that provided reminders for medication refills and upcoming doctor appointments. Additionally, I designed a search functionality that enabled users to locate nearby hospitals, blood banks, and blood donation opportunities.
front end
Image Segmentation Module:
My partner and I collaborated to develop an Image Segmentation Module using Python, Deep Learning, Machine Learning Algorithms, and TensorFlow. To segment specific objects from live moving video, we employed a pre-trained module called Mask RCNN. This enabled us to box the objects and provide confidence numbers for accuracy assessment. Furthermore, we integrated the OpenCV library to capture and process live video, which improved the module's real-time object recognition capabilities. As a team, we also contributed to creating an intuitive interface that enables end-users to easily visualize segmented objects and understand the results without difficulty.