This project is about Fruits-Vegetables classification application which is built using Deep Learning + Streamlit.

https://fruktkartan.se frontend

An AI model trained to determine the freshness of fruits and vegetables in an input image

Software de uma fruteira desenvolvida em Python

Fruits/Vegetable Seller Bot With Recommendation System Integrated (Using Apriori Algorithm) And MySql Database to record all the transactions and products/stock details.

Deploying FastAI model(Fruit Classifier) on an android and ios app using flutter

Suggesting a neural architecture for classifying dates images, using MobileNetV2 Transfer Learning

A dynamic HTML, CSS, and JavaScript app that tracks users' fruit and vegetable intake and assists them in reaching their daily goals.

📟 A simple game of hangman with 3 categories and 3 levels settings.

PET CV project. The application simulates the operation of smart scales, which themselves classify the product and offer options to the customer.

Fruits Vegetable Classifier with keggle datasets using CV

Fruit and Vegetables season predictions based on monthly weather data.

Página de apresentação do projeto de frutas e vegetais

Seasonal Food

Explanation video (in tamil): https://drive.google.com/file/d/1zmp3H3qrtaqBX-LtkIgABci8QbNYwb8k/view?usp=sharing

Upload an image of a fruit or vegetable, and this app will recognize it for you! Powered by Machine Learning.

A boring 33 class fruit classifier.

Ideal environment advisor through the classification of fruits and vegetables

Tools for setting objective quantitative levels of expression in phenotypic characterizations

In this work, an automatic and reproducible methodology is proposed using computer vision techniques for sorting oranges by size and defects. Master thesis written in Spanish.