Apr 08, 2021
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Service categories
Types of Services
Mobile Development
Domains
Consumer Products & Services
Solution type
SaaS
Languages
Python
Swift
Challenge
It is a B2C iOS application that allows its users to find otherwise “unclaimed properties” for them
and their families using the database they possess as well as external resources via web
scraping. A data aggregator, with an extensive Back-End logic responsible for an intelligent
information scoring and matching, is combined with an elegant Front-End design on iOS.
About 1 in 4 adults has unclaimed property waiting
for him. A rough estimate is that there is over $75
billion waiting to be claimed–that is more than $230
for every US resident.
It is a B2C iOS application that allows its users to find otherwise “unclaimed properties” for them
and their families using the database they possess as well as external resources via web
scraping. A data aggregator, with an extensive Back-End logic responsible for an intelligent
information scoring and matching, is combined with an elegant Front-End design on iOS.
About 1 in 4 adults has unclaimed property waiting
for him. A rough estimate is that there is over $75
billion waiting to be claimed–that is more than $230
for every US resident.
Solution
We have built an iOS application as a frontend for a client. Using sophisticated algorithms and third-party data sources,
Klaim searches dozens of unclaimed property databases. Under the hood, the application calls API on the AWS cluster to
start traversing all scraped databases of unclaimed properties and call all APIs of non-scrapable sources. When the data
gathering process is completed, the results scoring phase is started. Only the best matching results are presented to the
user. The solution efficiency is provided via auto-scaling mechanisms when there are many users at once on the service.
The whole system is orchestrated by Kubernetes, which enables high availability.
We have built an iOS application as a frontend for a client. Using sophisticated algorithms and third-party data sources,
Klaim searches dozens of unclaimed property databases. Under the hood, the application calls API on the AWS cluster to
start traversing all scraped databases of unclaimed properties and call all APIs of non-scrapable sources. When the data
gathering process is completed, the results scoring phase is started. Only the best matching results are presented to the
user. The solution efficiency is provided via auto-scaling mechanisms when there are many users at once on the service.
The whole system is orchestrated by Kubernetes, which enables high availability.
Results
In the words of the client: "DevsData built a modern, user-friendly app that includes complex backend and a beautifully designed frontend."
In the words of the client: "DevsData built a modern, user-friendly app that includes complex backend and a beautifully designed frontend."
