Classifying the tumor as Malignant or Benign based on MRI scans.

densecap socket webcam server bridge script and client script implemented upon python and opencv

Convo agent for Thomas the Tank Engine Facts application

Classifier based on Convolutional Neural Networks for the Diagnose of Alzheimer Disease using Magnetic Resonance Imaging.

Tiny node.js helper lib to simplify running MCP server via a CLI and to register MCP tools on the server

Convo agent and middleware generator using Yeoman

Helper node.js module for Convo Jenkins

An application for Google Home built using convo where families have a shared board of notes and notifications.

Convo is a specification-based voice and text conversation library

Meta-Heuristics vs Backpropagation: A Fresh Look at CNN Model Parameter Optimization for Image Classification

This project uses a Convolutional Neural Network (CNN) model to classify three types of rice leaf diseases from image data. The model is trained on a small dataset of 120 images, demonstrating how deep learning can be effectively applied even to limited datasets through data augmentation and transfer learning techniques.