Successfully Delivered Solutions

A reproducible, explainable transformer pipeline for depression emotion/severity experiments, including ablations, XAI faithfulness checks, and a minimal Flask demo (research use only).

Lightweight hybrid CNN–Transformer (MobileViT + attention + texture cues) for efficient and explainable lung cancer diagnosis on CT/histopathology with Grad-CAM and robust evaluation support.

A modular pipeline for audio-visual object recognition using hybrid, tensor, and FiLM-style fusion with flexible feature extraction and noise-robust training options.

Flask-based web application for cotton leaf disease, fabric stain defect detection, and fabric composition classification with probability charts and Grad-CAM explanations.

MaxViT-based soybean leaf/seed disease classification web app with Grad-CAM heatmaps, probability visualization, and a clean UI for practical screening workflows.