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Artificial intelligence-based solution that enables insurance inspectors to identify the level of damage on crops.

Published on the March 25, 2019 in IT & Programming

About this project

Open

The idea is to start creating a prototype of an artificial intelligence-based app using the following technologies: iOs and TensorFlow.

The app would be run by insurance inspectors as a tool for crop level of damage identification. We have thousands of pictures from different crops and level of damages for training the model.

Basic functionality: the prototype should have the ability to identify a new photograph of a crop vs. The trained model defining the level of damage (by certain % of accuracy). At first this could be something like (Damaged: Yes/No) but the idea it to capture different leves of damage (and potentially different kind of crops)

Similar services: https://www.saillog.c
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Category IT & Programming
Subcategory Apps programming. Android, iOS and others
What is the scope of the project? Create a new app
Is this a project or a position? Project
I currently have I have specifications
Required availability As needed
Required platforms Android, iPhone

Delivery term: Not specified

Skills needed