Challenges
Minimise manual work and drive data-powered decision-making.
The future of work environment is about working smarter not harder, so we want to challenge all HackCodeX participants to come with solutions that drive corporate efficiency. Here is what we are thinking - let’s utilise the power of modern technology opportunities and your creative minds to not only minimise manual work but to also drive data-powered decision making.
Here are our suggested challenges:
Financial document recognition solution
If HR is considered the heart of the organisation then we want to say that the Finance department is it’s backbone (we all want to get payed at the end of the day 😉), so we want to make their work just that bit more efficient. We challenge you to implement a document recognition solution for local financial documents, that has extensible API capabilities for other systems to request and post data for processing.
Extending the life cycle of hardware through preventive maintenance using AI
There is almost nothing (except calls that could have been e-mails) that renders your productivity as much as a lagging device or an unexpected update, we’ve all been there and want to improve the lives of all users. And if that’s not enough of a selfless purpose think about how we can extend the lifecycle of hardware and contribute to improving global climate goals through improving how devices are managed. We challenge you to implement a preventative maintenance solution for IT hardware products using AI.
Yeah, that's pretty high level, but here are more details 😉
Financial document recognition solution
Implement Latvian financial document recognition solution, that has extensible API capabilities for other systems to request and post data for processing.
Any system can send picture, PDF or other visually representable information to the solution and get back extracted info from document/pricute - invoice/receipt number, company, price, quantity, what was bought, etc. Send back AI confidence with response, so systems can set confidence thresholds internally - for business critical information this can be >85%, but for generic systems it can be >50%. This response later can be used to populate the internal system database.
Another potential solution is to tailor forms recognition to work with Robotic Process Automation (RPA) tools, where most complex cases can be handled - most information will be filled in by RPA tool, but other unrecognized/difficult information requires human intervention. This can be tied to AI data confidence - if confidence for a company name is <85%, then ask the user for screen input.
In case of this solution, think about efficiency of user time - does user need to sit all the time watching tool and then acting immediately, or it’s possible to see all outstanding questions, and then resolve them at once in some interface - left screen side destination system, right screen side original document to look for info (in this case mark place where AI has troubles identifying info to help user).
As the user resolves issues, the AI model must be trained in order to resolve these issues by itself. This can be useful if AI does not understand a particular receipt data format or where to look for customer number - but after some manual interventions, it could recognize receipt provider and then adjust its data lookup model.
Extending the life cycle of hardware through preventive maintenance using AI
Once in a while things break down, and a PC, or any other IT equipment, needs to go into service. The optimal user experience is to know this sooner rather than later, after the break down has occurred. This leads to stress and loss of productivity for the end user.
In order to find a better solution for this, a predictive solution, which enables Atea to send a user a replacement PC to and end user before it breaks down, will have a positive impact on the overall end user experience with the PC, and Atea.
We challenge you to implement a preventive maintenance solution for IT hardware products, that within reasonable timeline predicts when an IT asset can/should go into preventive maintenance.
The task is to create an AI model that can be applied to a workflow process that informs the user that their PC is scheduled for preventive maintenance, explaining the user that a temporary PC is on its way and instructs the user to return their existing PC in the same shipping package and return it to Atea.
Who we are 🙌
One IT infrastructure partner for your digital transformation!
We are a big team inside an even bigger one - Atea Group. Together we are proud to be the leading IT infrastructure provider in the Nordics & Baltics (and top 3 provider in Europe), building the future with IT.
While arrcoss the Nordics we are more than 8000 representing #teamAtea, here in Latvia we are 550 professionals specialising in the development, IT operations, business processes, finance, sales, HR and marketing.
We like to consider ourselves a big, local company with a small community's mentality and speed, And that's who we really are - diverse and motivated people, combined in strong and friendly teams, striving to provide excellent services to our clients worldwide.
Weather you're willing to start your career, restart your previous work experience, or continue developing your talents in a dynamic tech environment - we can be your place to be.
What we’ll provide ⚙️
Financial document recognition solution:
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Mentorship
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Technical assistance
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Design guidelines https://design.atea.com/#/
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Azure Tenant - if you need access to the Azure Tenant please rach out to Rolands Strakis on Discord by 12:00 on Saturday the 3rd of June
Extending the life cycle of hardware through preventive maintenance using AI:
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Mentorship
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Sample data
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Design guidelines https://design.atea.com/#/
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Azure Tenant - if you need access to the Azure Tenant please rach out to Rolands Strakis on Discord by 12:00 on Saturday the 3rd of June
Only requirement is to use Microsoft technology stack as much as possible. In case of more competence in the team exists on other platforms, this can be used. Atea assists with Microsoft Azure Tenant. If you need access to the Azure Tenant please rach out to Rolands Strakis on Discord by 12:00 on Saturday the 3rd of June
Recommended tooling:
Financial document recognition solution:
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Azure Forms Recognizer
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Azure Cognitive Services
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Azure Logic Apps
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Azure Virtual Machine
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Azure App Service
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Microsoft Power Automate Desktop
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UI Path (for Robotic Process Automation)
Extending the life cycle of hardware through preventive maintenance using AI:
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Microsofts AI stack
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Azure Cognitive Services
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Azure Logic Apps
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Azure Virtual Machine
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Azure App Service
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Microsoft Power Automate Desktop
Judging criteria 🔍
Implementation
Does it work? Can it be implemented? Can it be maintained?
0-10
Innovation
How innovative / creative / unique is the idea? Was there a novel approach applied to solve the problem?
0-10
Technical Excellence
Is the project technically impressive? How technically elegant is the solution?
0-10
Future Potential
Was it clear how the output could be taken forward in the future? Were ideas of future steps provided? Was it sheer fun, or did the idea show usefulness in the long term?
0-10
Presentation
How well the idea and prototype are communicated to the audience?
0-10
Prizes 🏆
Hack your way to genius with the Logitech MX 3s, the magical wand that turns caffeine-fueled coding sessions into effortless, finger-flicking symphonies of productivity! The winning team of our “Think smarter not harder” challenge will each receive a gift bag from team Atea with the Logitech MX 3s mouse as the star.