The Story of Our Project
It was a wonderful day when the long–awaited Hackathon finally began — something we had been looking forward to for months. Our goal was to participate and compete with other contestants at the event.
When it came to choosing the topic, we didn’t just sit at a table and pick one randomly. It actually took quite a lot of time to arrive at this idea. Even before the Hackathon started, we had been thinking about possible themes for the task. One of our early guesses was that it might have something to do with AI, since it’s a very popular topic nowadays.
By the way, did you know that artificial intelligence as a scientific discipline was officially established in 1956 at the Dartmouth Conference, where the term “artificial intelligence” was first introduced? However, the theoretical foundations of AI appeared much earlier. This field is also extremely profitable — according to various sources, in 2024, investors put at least 75 billion dollars into AI-related industries.
AI may also replace certain jobs: according to forecasts and research, by the year 2030, AI could replace up to 203 million jobs — although it will also create new ones.
Choosing the Topic
After the themes were announced, we decided to choose “Simplifying Household Tasks with AI” because it seemed both interesting and genuinely useful.
We then began brainstorming where AI could be integrated in a way that was convenient, helpful, and rich with implementation possibilities. Our choice eventually landed on the refrigerator.
Just imagine how great it would be to walk up to your fridge, and it instantly suggests multiple dishes you can prepare using the ingredients you have — no more wondering what to cook! We thought the same, so we selected this idea.
Implementation
The next step was figuring out where and how to build it. We chose Python, which offers plenty of libraries and frameworks for AI development.
Then came time management — something essential in today’s world.
How it works
We implemented a method where most of the complexity is handled by the server, which is connected to the AI system.
For example, you can upload an image of your groceries to it.
The fridge itself stores the full list of ingredients placed inside. Based on that list, it can:
- Suggest dishes you can prepare
- Provide full cooking recipes
- Filter by dish type (e.g., first course, second course, or dessert)
- Refine recipes by cuisine type
Our tech stack uses bleeding-edge technologies, making it blazing fast ⚡.
We spent a long time thinking through the implementation — what functions it should have and how everything should work — and eventually reached the version we have now.
I believe that sooner or later this project, or something similar, will become reality because it is truly interesting and useful. It can always be expanded, from adding more recipes to introducing new features.
Challenges and the Future
There is one drawback: besides electricity, the refrigerator must also be connected to the Internet. However, many devices already require this — like smart refrigerators, which have built-in computers with touchscreens, internet connectivity, and sometimes virtual assistants.
So this is the kind of future we might expect. Perhaps next time it won’t be refrigerators but something like a smart hairdryer that automatically adjusts temperature and airflow to your hair type, recommends hairstyles, and so on. That would also be a cool project — but not today.
This is roughly the story of how our idea was born. We continue working to make all electrical appliances smarter — but don’t worry, the uprising won’t happen anytime soon (if it ever does).
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