Building the model turned out to be a lot tougher than I thought. I spent so many hours, sometimes whole days, planning, experimenting, and figuring out how everything would work. My main goal was to make the model bug free and working completely fine. There were times when I wasn’t sure if my code or project would actually work. Some of my friends had made fun of me for working so hard or thought the project was stupid, but I kept going anyway. I want to show them that hard work on even “stupid” projects can turn out good.

The hardest parts weren’t technical. I struggled with wanting to give up, worrying I wouldn’t reach my goal, and hearing discouraging words from people close to me. Even so, I kept going. Visiting Hugging Face for inspiration and learning more about how the code worked helped me learn more about OCR and Image Classification models. I’ve learned a lot along the way ngl.

After fixing some final bugs, I feel like I’m almost finished with my model. I just need to do a bit more research to make sure I’m headed in the right direction, and of course, I’ll keep posting these devlogs to share my progress/journey!