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Challenge Overview

1. Context:

PROJECT CONTEXT

 

This project aims to build an Android application that will help field service personnel to identify documents, videos, and/or remote experts to assist them with solving issues in the field while they're working.

The app should leverage ARCore to allow AR objects to be shown during live video calls that will improve the ability of remote experts to provide contextual cues to a user during a video call.

 

2. Expected Outcome:

 

The purpose of this challenge is to thoroughly test the app's features on the required android phones. 

  

3. Challenge Details

IMPORTANT NOTICE:

 

The testing details will be provided after the 24 hours of challenge start time. 

 

BROWSER REQUIREMENTS

A Responsive web-app supporting the following devices and browsers.

  • Android Phone with ARCore support

 

Prize Distribution

The submitters with the highest score will win the contest’s prizes. The score will be based on the weight of issue as:

  • Functionality: 10 points

  • other: 5 points

The other submitters will receive a prize of $5 for each unique bug accepted up to a maximum of $100.
The 2nd prize is $250. 

Rules

  • Follow the standard Topcoder Bug Hunt Rules (if any conflict please ask in the forum)

  • Don’t create duplicated issues, you may be penalized for doing so. 

Submission

Please log each unique defect on the Gitlab repository. 

Issue template

  • Steps to reproduce(required)

    • Detail steps in markdown format

  • Screenshots or Video(required)

    • Attach within the issue itself, don’t store elsewhere

  • Current results(required)

    • Detail of what is wrong currently

  • Expected results(required)

    • Detail of what should be the proper result

  • Device and Tools(required)

    • Tools you have used and required to replicate the defects.

    • Device model and OS are required at a minimum. 



Final Submission Guidelines

See above

ELIGIBLE EVENTS:

2021 Topcoder(R) Open

Review style

Final Review

Community Review Board

Approval

User Sign-Off

ID: 30137014