PeliCAM
Explainability toolkit supporting CAM, LIME, and SHAP for deep learning models.
I'm a third-year Computer Science undergraduate passionate about Explainable AI, Embedded Machine Learning, and Cognitive Learning Systems. I love building intelligent systems backed by clear interpretability and thoughtful design, bringing together software, hardware, and human-centered thinking.
Worked on Explainable AI techniques including LIME, SHAP, and CAM, developing deep-learning model interpretation tools for security and defence use cases. Built CAM visualization pipelines for CNNs and contributed to a multilingual text-classification system (English + Indian languages).
Contributing to a research-backed educational cognition system for understanding how children form mathematical concepts. Designed interactive tools that visualize slopes, derivatives, and geometric intuition, and built the web-serving backend for real experiments used by researchers.