This project is about the prediction of red wine quality using different machine learning algorithms

Analytical solution to forward/inverse kinematics of robot manipulator, path planning using RMRC Algorithm

Homegrown cellar inventory project. Backend only. Currently on hold.

An online django-based app for journaling and tracking the production and fermentation of alcohol, including graphs. Primarily Wine and Mead, but also others like Cider and Beer. Each "batch" is a specific recipe that can be used in one fermenter, or multiple. It will also track fermenter status and maintenance. Not a recipe builder, but meant f…

Hydromel Production Project

Must Watch Mead-making app for Android

A chat server and cleint using python and the google drive API.

Mead Calculator for the right nutrient addition regimen

Python implementation of a Nelder-Mead simplex algorithm using numpy

Home Brew Log

YAN Nutrient Calculator 2.1

My homebrewing notes

Celestial Mead Blog

Front end for the cellar-sync project. Currently on hold.

This project aims to predict wine quality based on physicochemical properties. Using machine learning models including Random Forest and Gradient Boosting Classifier, this analysis identifies key factors affecting wine quality and builds a predictive model to classify wines.