faris771/Apple_Quality_Classifier
ENCS5341 Machine Learning And Data Science project, aims to perform a predictive task on apple quality based on specific attributes of the apple fruit 🍎
This project helps classify apples as 'good' or 'bad' based on their physical attributes like size, weight, and ripeness. You input a dataset with various apple characteristics, and it outputs a prediction of their quality. This is useful for anyone involved in apple sorting, quality control, or inventory management, such as farmers, distributors, or food inspectors.
No commits in the last 6 months.
Use this if you need an automated way to assess and categorize apple quality from a dataset of their physical properties.
Not ideal if you need a real-time, on-site apple sorting solution that doesn't involve analyzing a pre-existing dataset.
Stars
7
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 07, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/faris771/Apple_Quality_Classifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rogerioxavier/X-Wines
A world wines dataset with user ratings for recommendation systems and general use.
Fontys/wine-categorizer
This repo is used as an introduction for a course in Machine Learning and touches slightly the...
Sengarofficial/Induction_Furnace_Carbon_Sulphur_Response
This project is aimed to integrate artificial intelligence in steel Industry for better yielding...
mdzaheerjk/Drinks-Quality-Prediction-System
This project aims to build a robust, end-to-end Machine Learning pipeline for predicting the...
tjdev7/WineSpotter
Wine recommendation app developed using Machine Learning, Tensor Flow and Python