Yes, we’re not done with Ai Tao😈, the villain. Once we find a problem that we can evaluate, we have to evaluate how big the problem is because no matter how good the solution is, if the problem is something it doesn’t need to be solved. Or actually it’s not a problem. Why do we still have to solve it? But, wait a minute. On the other hand, your problem shouldn’t be too big. It may seem counterintuitive, but we really mean it.
First, the problem is very big and it is very difficult to think of a solution.💀💀💀
Secondly, think about the fact that there are a lot of smart people in this world. Is it our problem so big that no one will see it? When managers who have been in this line of work saw the solution we provided, since we were high school students, they would feel that our solution was a weak method and could not really be implemented. He will feel that the real thing is much deeper than this. So, if you want us to whisper, we advise you to be careful.
But whatever the case, if anyone can think of a solution to this world-class problem, let’s do it. Don’t be afraid 👊🏻
Here we paste a sample problem from the spare slide so you can see it as a guide.
Trick 3🔐: The solution must be correct.
The big asterisk*** This part is the part that we think is ultimately the most important. This competition is a problem solving competition for everyone. Therefore, you must choose the solution that can solve your problem, the clearer it is, the better.
If you solve a problem well, distribute the problem diagram and list all the solutions you can think of, then choose the best solution. A good solution should be a solution that can actually be implemented. Lowest possible cost compared to the results that come from all the solutions (Anyone making AI models can compare the display table to see why we chose this model to make the solution we choose better. What are the other models?
For this reason, it is no surprise that when we compete in hackathons, we will meet a lot of people who are creating apps. The reason is that the application uses less cost compared to the size of the market that can reach the customers, but whoever makes the product, secretly whisper that making the solution we have in mind a reality can be done by drawing on paper to know how to implement it. To do that. There is no need to imagine it yourself 😽 but these things will be talked about later in Finance and Prototype.
So, thanks so much to everyone who has read up to here.
Hackathon sample image from: kasikornbank, Camphub, tcaster
Other photos by the author
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