Automated Answer Sheet Evaluation System using OCR and NLP
PublishedA teacher-facing evaluation platform combining OCR, rubric-aware NLP scoring, and explainable per-question feedback to reduce manual grading time and improve consistency.
Research Interests
Exploring practical and theoretical frontiers where intelligent systems can improve human outcomes.
My research work focuses on building reliable, interpretable, and human-centered digital intelligence systems. I am especially interested in educational technology, language understanding, and robust interface design for AI.
Current Research Themes
NLP-based automated evaluation
Generative AI applications
OCR and document intelligence
AI-assisted education
Human-computer interaction
Secure and scalable web systems
Featured Research Work
Recent Advances in Facial Emotion Recognition
Review StudyA comparative review of modern FER models, including transformer-based and lightweight architectures, with analysis across RAF-DB, AffectNet, and FER2013 datasets.
Human-Centered AI Interfaces in Learning Environments
In ProgressOngoing research on usability, trust, and interaction design patterns for AI-assisted educational systems used by students, instructors, and administrators.
PreviewDownload
Literature Review / Publications
Publication and review details coming soon.
This section will host publication abstracts, citation metadata, review notes, and collaborative research outputs.