Deep Learning / Computer VisionCompleted Academic Project
EggFusionNet (DIP Project)
An advanced digital image processing project that utilizes a custom deep learning framework to identify various eggplant leaf diseases. This project involved complex data preprocessing, model training on specialized agricultural datasets, and evaluating performance metrics to ensure reliability in field conditions.
RoleEngineering Lead
StackProduction Grade
Technical Architecture
Core Impact
"Co-authored a research-grade CNN architecture for automated eggplant leaf disease classification with 90%+ accuracy"
Detailed Walkthrough
A step-by-step examination of the platform's interface, features, and user experience.