AI Can Act as a ‘Cushion’ to Absorb the Impact of Economic Realities

N. Raghuraman Management Guru

I think that on Sunday, most of the mothers in our country would have told their children that ‘There is no need to take so much trouble, only good wishes are enough.’ He might have said this when the children wanted to celebrate Mother’s Day somewhere outside or buy a gift.

Children think that ‘no gift can compare to what mother did for me.’ Whereas mothers think that ’emotions are worth more than any gift.’ On Mother’s Day, mothers in many homes often have the same answer – ‘What is the need to spend money?’ When even such a once-a-year celebration started getting affected by economic realities, my friends and I decided to do something different this Sunday.

We thought, why not teach mothers to cook? I know you’re saying, ‘What kind of nonsense is this?’ Wait, don’t break down. Today our experiment in cooking class was a little different. We didn’t ask him what dish he had in mind for the class. Rather we asked- ‘What is left in the fridge?’

We put the information about those things into AI and asked it to make the recipe. Instead of scrolling through predefined recipes, moms entered ingredients and got AI-generated instructions. He himself told what things he had and what he did not have. AI made changes in the recipe accordingly. Traditional recipe platforms are search based.

They assume that the user already knows what to create. But in the new system, AI has eliminated this need by preparing its own recipe based on the inputs. The mothers liked it because only available things were used in it. Items that would go unused can be used to make a full meal, a light snack or a quick comfort meal. The most special thing about AI Recipe was that this tool adapts itself to the needs of the user.

For example, calorie targets, food avoidance or cooking time. For example, someone can say to AI, ‘I want to make a meal that cooks in 10 minutes with these things.’ However, there are some practical problems with AI recipes. Some outputs had unclear quantities, some steps and combinations were missing, requiring changes and human understanding.

But those who had basic understanding of cooking improved them. The system provided the beginning, but the conclusion depended on how mothers or users understood and improved the instructions. We came up with the idea after reading work developed through the University of South Florida’s AI program. It showed how language models could create organized recipes with ingredients, steps and cooking times in a matter of seconds.

Instead of reproducing an old recipe, this system creates recipes as per the user’s needs by taking information from large datasets. It also explains how to add nutrition analysis to recipes, so moms can see estimated nutritional values ​​along with cooking steps.

Now mothers will not have to say that ‘I have been eating this for the last 40 years and nothing has happened to me.’ Rather she can say that ‘100 grams of this dish has only 83 calories.’ However, the acceptability of AI recipes depends on the type of dish. Mothers appeared more confident when they knew a dish.

But as the recipes became more experimental, his confidence waned. She started doubting her own cooking skills. She seemed less willing to rely on unknown combinations. But overall, this new gift of AI-assisted cooking was not only fun, but also made mothers comfortable with smartphones.

The bottom line is that As long as children keep their mothers in their thoughts, it does not matter to them whether the children’s gift is cheap or expensive.

Make Dainik Bhaskar your favorite source on Google ➔