Jagjot singh

For my individual Content-based Image Retrieval System project, I developed a beginner-level image search engine that finds visually similar images using content features rather than metadata.

I used a pre-trained VGG16 CNN for feature extraction and embedding generation, then applied cosine similarity to identify the closest visual matches. I tested retrieval quality against a sample image dataset and through manual spot-checks.

At Codsoft, I worked as a Web Development Intern, developing responsive pages with HTML, CSS, and JavaScript. I also contributed to iterative feature builds and sprint deliveries.

During that internship, I performed exploratory and functional testing, logged defects, and validated fixes. I’m a final-year AIML engineering student with Python skills, looking to contribute to practical, data-driven problem solving.