As the use of AI becomes more important, I wanted to create a small test project to see how well openAI Vision works and what the costs are for image recognition. This has now resulted in an application that offers real added value for me and many other people.
Yes, there are already plenty of cash book apps, but my cash book app uses AI to recognize what has been bought. The most annoying part of a cash book is always writing down and typing in purchases. And yes, every REWE, LIDL, ALDI & Co app offers us digital receipts, but unfortunately always in the respective store app. You can’t get an overview of a household, for example, that way.
And these are exactly the things that annoy me.
Both the typing and the store connection. The cash book webapp enables you to record purchases using a photo of the receipt and immediately assign them to a cash book. The receipts are retained digitally and can be viewed and downloaded at any time.
Cash books can also be used jointly (e.g. in a household). The use goes beyond simply recording receipts and evaluating budgets or statistics, because the sharing function enables the participants of a cash book (at an event where different people buy or buy things) to split the cash book and very easily calculate who has to pay how much and to whom. However, this is still determined using classic mathematics, without AI.
Couno.de is a platform, in which different users can upload media (pictures, videos) from an event, they visited together. This time, everybody shares its videos and pictures, but couno.de joins them again, to get a wider view onto an event, with the pictures of everybody joined in on the platform. The platform is able to track the geo-coordinates of the images so it becomes possible to plott a complete journey with map-display and innovative presentation-mode. To make the upload as easy as possible, I created a Java-Upload-Tool for desktop-PC and a native android app.[bis]today[/bis]
