Parvinder Singh

For my SMS Spam Detection project, I built a Python classifier using the UCI SMS Spam Collection dataset. I used Bag-of-Words and TF-IDF for text feature extraction, and TF-IDF with Linear SVM achieved 97.87% accuracy.

I also developed a Python machine-learning system to identify phishing websites using the UCI Phishing Websites dataset. I worked on preprocessing, feature analysis, model training, and evaluation.

With CampusSwap, I developed a responsive marketplace frontend for college communities, featuring service listings, search, and navigation. I’m studying Computer Science and Engineering (AI/ML) at Guru Tegh Bahadur Institute of Technology and am seeking an AI/ML internship to apply and deepen my skills on practical problems.