Deep Learning

Research project focusing on deep learning-based image super resolution using CNNs, Vision Transformers, Mamba architectures, and attention mechanisms for enhanced image reconstruction.

AI-driven medicinal plant identification project using deep learning, computer vision, and mobile-based intelligent systems for real-world biodiversity and herbal medicine applications.

Research project on unconstrained handwritten compound character recognition using deep learning, computer vision, and sequence modeling techniques for Assamese and Indic script analysis.

Research project focusing on hyperspectral image change detection and automatic change captioning using deep learning, Transformer, and state space models for remote sensing applications.