FRT-fruit-detector

Fruit Detection Web App

This is a project for Future Ready Talent Internship.

Which is based on Microsoft Azure Cloud Services.

A WebApp that detect fruits from image.

Designed using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service).

This Project is only for DEMO purpose so currently only detecting 4 fruits => Apple, Banana, Green Apple, and Orange.

How To Run :

1. Open URL
2. Click Upload Image Button (top left corner)
3. Select Image and Upload (you can see the image below upload image button)
4. Click Predict Button (top right corner)
5. Boom! (detected image can be seen below predict button)

PIP Requirements:

• azure-cognitiveservices-vision-customvision==3.1.0
• Flask==2.0.2
• matplotlib==3.5.1
• msrest==0.6.21
• numpy==1.22.1
• Pillow==9.1.1
• python-dotenv==0.20.0

BROWSER Recommendations for best view:

• Device: Desktop
• Browsers: Chrome, Safari, Opera, Edge, Brave
• Resolution: 1920*1080
• OS: Windows, macOS
• Zoom: 100%, Fullscreen

Website : https://fruit-detector-01.azurewebsites.net/

YouTube : https://youtu.be/jdPhncs-xSg