My first live Hackathon (hack2progress)

Last weekend I attended to my first in-person hackathon event and it was an amazing experience. On friday we had a 4h introduction to the problem statement. The hackathon's purpose was to improve urban movility using data and technology. It was intended to be more of an open ended hackathon to brainstorm ideas rather than a fixed exercise to maximize a certain metric given a dataset. The speaker's level was very high and they did a great job.

During the introduction, they put a lot of emphasis on trying to come up with a novel solution that could potentially solve a problem. Thats why we spent the rest of the day thinking about how we would approach the problem. Just before the day had finished, we came up with a great idea.

Saturday's workday was much more intense. We started at 8:00 am and finished at 21:00🤯 (13h nonstop!!), barely having any breaks, just to eat. One thing I want to highlight is how productive we were during those hours, and the great time management we had. We did'nt miss a single minute of work and achieved all the important milestones at the right times.

Santan'next UI

Our proposed solution was Santan'next. Santan'next is based on using AI agents that will browse the web to identify relevant and summarize events that could generate an unusual increase in the movement of people in the city. This summary would be handed to two types of stakeholders:

Companies:

So they can make decisions on how to address the increase in traffic (e.g., adding discounts for carsharing or electric bikes, or increasing public transport frequency).

Users:

They will have an interface displaying relevant events and the discounts generated by companies:

Santan'next UI

More info about the project in our GitHub repo: here

We thought it was a great idea because it was a never seen, original application of genAI that could solve a real problem! Usually when we think of genAI we can just think about chatbots or slop image generators.

We managed to create a prototype of the user's application and a nice presentation to motivate our solution (in spanish).



However, despite the efforts, we didn't manage to win :(. But still, we are very happy and proud about our work so it's not a big deal.

Looking back, here's what we did good and what we could have improved:

What we did well:

What we could have improved: