Grafest 2025 Was Not What We Prepared For
From May 1 to May 5, 2025, five of us were at Graphic Era University, Dehradun, for the Neural Nexus AI/ML Model event.
None of us were core AI or ML students. Our names were forwarded by the college, and that was how we ended up there. There was no long discussion about whether we were the right fit. We decided to go and deal with the rest later.
We had five days to prepare. That time did not turn us into specialists. It did something else. It forced us to decide what actually mattered when learning something unfamiliar under a deadline.
We were not trying to cover everything. We were trying to understand enough to make something work.
The event itself made that clear quickly. Other teams were more fluent in the domain. That was visible. At the same time, the evaluation was not only about how much theory someone knew. It was about how clearly the model idea was framed, how assumptions were handled, and whether the work held together when questioned.
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Out of around twenty teams, ten moved to the second round. We were not among them. By the time the results came, it did not feel abrupt. We already had a sense of where we stood.
What stayed with me was not the outcome, but how compressed learning feels different from casual exploration.
When time is limited, confusion becomes visible faster. Gaps show up clearly. You stop pretending you understand things you don’t. You also learn where fundamentals matter more than surface familiarity.
The college covered our travel and stay, which meant that once the event ended, the pressure dropped.
We spent some time moving around Dehradun, talking, and letting the experience settle. That part mattered too.
It created distance from the result and made it easier to see the event as a whole, not just as a competition.
Looking back at Grafest 2025, it feels less about AI or ML specifically and more about stepping into an unfamiliar space without trying to justify it too much.
We didn’t go in to prove competence. We went in to see how we respond when the ground isn’t familiar.
That clarity stayed after the event ended.
