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Image recognition Front-end and Integration

Airbus is a renowned organization, and its innovative helicopter wing department requires a developer who can integrate the existing back-end image recognition command line program with the front-end to be able to display the results correctly, and to communicate with the back-end program.

The processed images should not be stored, and be available for download by the User to their local device.

The core features of the website are:

Ability to Upload images.

Integrate with the command line program that process’ images

Display results as passed on by the CLI API

Admin authentication

Admin configuration of CLI endpoints

Admin ability to perform user management

Admin ability to run specific reports on:

User activity

Review downloaded images

A user authentication system

Compétences : PHP, Java, Architecture Logicielle, Programmation C++, Full Stack Development

en voir plus : image recognition api, authentication by face recognition in web application, facial recognition, facial recognition php, image recognition javascript, clarifai, face recognition web app github, image recognition companies

Concernant l'employeur :
( 21 commentaires ) Toulouse, France

Nº du projet : #27824061

51 freelances font une offre moyenne de 2905 € pour ce travail

(36 Commentaires)
8.4
AwaisChaudhry

Hello, Upon reading the job details I would say that all the required skills Software Architecture, C++ Programming, PHP and Java fall under my skills. I work on freelancer full time and I believe I can do this job if Plus

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7.0
erashrafkamal

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7.0
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6.6
PixelsInn

Dear Client ! I hope you are keeping well ! I have read the description of your project and we can integrate the existing back-end image recognition command line program with fulfilling all your requirements carefully Plus

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(43 Commentaires)
6.7
ShantOM

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(117 Commentaires)
7.7
ayesha0124

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6.2
planDapps

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5.9
IvanCoder204

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(26 Commentaires)
5.6
yanakhokhlova199

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(9 Commentaires)
5.1
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5.1
obsurf

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5.2
Demenntor

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4.8
nikhilgarg96

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5.2
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4.8