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mattfung99 / repository
[Flask] A fruit catching game made with Python (Flask), Vanilla JavaScript and C++
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alloc7260 /
A WebApp that detect fruits from image. Designed using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service)
Juri-Neu /
Voll-Funktionsfähige Projekt-Webseite. Ein Online Store: .html .css .js .py (Flask, Templates, SMTP, SQLite) - Für mehr Information bitte das .README lesen
abdurrahmaan11265 /
An intuitive web application using image recognition technology to classify and identify various fruits from uploaded images. The project was built using Flask for the backend and HTML, CSS, and JavaScript for the frontend, demonstrating a strong understanding of machine learning integration in web applications.
agnieszkajureczko /
The web application for recognizing fruits and vegetables. The aim of the project is to shorten the time of weighing products on the scale in the shops. The tehnologies used in project: Javascript, CSS, HTML, Python, Flask.
JITHENDRA990 /
NutriGaze is an AI-based web application that classifies fruits and vegetables as Healthy, Rotten, or Others using Deep Learning and Transfer Learning (MobileNetV2). Built with Python, Flask, TensorFlow, HTML, CSS, and JavaScript.
This is major project given to us by smartbridge, it is done by using CNN, flask, javascript for API. it is identified the name of fruit and display its nutrition value table. and also by using API user enter the name of item such as food fruit etc. it shows the corresponding nutrition table.