At Indian Institute of Technology Ropar, I developed Vi-Notes, a secure MERN-based application with JWT authentication and REST APIs. I also documented APIs and system workflows during the NPTEL Winter Internship.
I built a Cyberbullying Detection System comparing Naive Bayes, SVM, BiLSTM, and fine-tuned DistilBERT across six hate speech categories. DistilBERT achieved 84.92% accuracy and a 0.849 F1-score.
My projects also include an emotion-aware decision support system using TF-IDF and Gradient Boosting, and a mental health risk analyzer that achieved a 0.823 ROC-AUC. I’m studying Computer Engineering at Silicon University and have worked with Python, machine learning, and NLP.
