Responsible Construction: Difference between revisions
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(Created page with "Suggestion from Akvile Valentukonyte at Qualis Flow: Collecting accurate data about materials entering and leaving a construction site is essential to ensure minimal waste an...") |
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Client: Akvile Valentukonyte at [[Qualis Flow]] - <Akvile.Valentukonyte@qualisflow.com> | |||
Collecting accurate data about materials entering and leaving a construction site is essential to ensure minimal waste and climate-responsible behaviour. However, most of the available information arrives on paper documents or pdf receipts. Optical character recognition helps identify what is written on the tickets, but the challenge is reliably identifying actionable information like arrival times, certifications, and especially key data that has *not* been captured. Your task is to create a phone app that can instantly capture and advise drivers and gate staff, while populating a dashboard that can be presented to local residents on a public display. | Collecting accurate data about materials entering and leaving a construction site is essential to ensure minimal waste and climate-responsible behaviour. However, most of the available information arrives on paper documents or pdf receipts. Optical character recognition helps identify what is written on the tickets, but the challenge is reliably identifying actionable information like arrival times, certifications, and especially key data that has *not* been captured. Your task is to create a phone app that can instantly capture and advise drivers and gate staff, while populating a dashboard that can be presented to local residents on a public display. | ||
Latest revision as of 15:49, 8 September 2022
Client: Akvile Valentukonyte at Qualis Flow - <Akvile.Valentukonyte@qualisflow.com>
Collecting accurate data about materials entering and leaving a construction site is essential to ensure minimal waste and climate-responsible behaviour. However, most of the available information arrives on paper documents or pdf receipts. Optical character recognition helps identify what is written on the tickets, but the challenge is reliably identifying actionable information like arrival times, certifications, and especially key data that has *not* been captured. Your task is to create a phone app that can instantly capture and advise drivers and gate staff, while populating a dashboard that can be presented to local residents on a public display.
