Simple Flask web app able to distinguish between real world images of Apples, Bananas, Oranges with predicting weather the fruit in image is Fresh or Rotten with respective probabilities on real-time hosted web service (Heroku)

🍎 Fruit & vegetable image classifier using TensorFlow CNN. 18 categories, Streamlit web app, Jupyter training notebooks, modular Python code. Learn computer vision & deep learning. Automated preprocessing, metrics visualization, easy deployment. Educational ML project with clean architecture.

This project aims to classify different types of fruits using deep learning. The objective is to build a model that can accurately identify the type of fruit based on images.

AI-powered fruit ripeness classification combining computer vision, feature selection, and machine learning algorithms

Using Alexnet Architecture for Multiclass Fruit Classification

Image classification : Detecting the fresh and spoiled fruits for the IEEE event.

Using an algorithm that allows it to distinguish fruit images by type of fruit.

Fruit Classification using CNN

Computer vision project for classifying fruit ripeness using deep learning

Fresh rotten fruit classification using mobilenetv2 architecture

Project for Computer Vision

A web-based Fruit Classifier App built with Streamlit that predicts fruit species based on features like diameter, weight, and RGB color values.

Fruit Classifier is a machine learning project that leverages deep learning techniques to classify different types of fruits.

Fruit Ripeness Classifier, ensembling deep learning CNN and shallow learning. Consists of two stage: (1) fruit classifier (2) ripe classifier

Fruit Classification Model that demonstrate how to perform fruit classification. The model is trained to classify different types of fruits from images.

AI-powered fruit freshness classification using deep learning and Streamlit

A lightweight and efficient computer vision solution for classifying various fruits using MobileNetV2 and transfer learning. Includes robust data preprocessing pipelines, clear repository structure, and detailed documentation for easy collaboration.

Fruit Classification Using MobileNetV2

Aplikasi web berbasis Streamlit untuk memprediksi kualitas mangga menggunakan model machine learning. Aplikasi ini dapat mengklasifikasikan mangga menjadi tiga kategori kualitas: Bagus, Sedang, atau Jelek berdasarkan karakteristik fisik dan geografis.