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


Evaluating bids
Description:
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

Over USD 3,000

Budget

9

Bids

10

Interested freelancers

Published: Last month

Deadline: Not specified

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Freelancers who already applied to this project

Martin D. S.Desarollador android de Argentina, he trabajado en proyectos de todo tipo en la plataforma android desde hace mas de 5 años. More details

IncioI am an AI and mobile developer working with native apps development for Android, iOS devices for over seven years. More details