Welcome to My Portfolio!
I am a passionate and dedicated aspiring Software Developer with a Master’s degree in Computer Science. Throughout my academic and project experience, I have gained strong skills in Java, Python, HTML, CSS, JavaScript, and Selenium, which I use to design and build dynamic, responsive, and efficient applications. My focus is on writing clean, reliable code while continuously learning new technologies to deliver impactful solutions.
Researched and implemented advanced machine learning techniques for the detection of drug-target interactions. This involved the development and optimization of algorithms to accurately predict and identify potential targets for drug development, enhancing the efficiency and precision of the drug discovery process.
Computer Vision-Based Deep Learning Project Project leverages computer vision and deep learning techniques to enhance public safety and security through three main modules:Mask Detector using OpenCV, Social Distancing Monitoring using CCTV Cameras, and Face Recognition with Mask-On using PCA Method.
An integrated system comprising a web application and an Android application designed to manage personal loans efficiently. System offers a seamless user experience, enabling users to apply for personal loans, track their application status, and manage EMI payments effortlessly.
