I made a website for all the meal recipes of the video game, Don't Starve Together! Whenever me and my friends hop on the game, we have to look up how to make recipes on the wiki, so I decided to dedicate a website to this to make it more convenient.
This was created in an effort to learn materialize (also tried out jquery), a basic css framework, you can see I tinkered with a lot of their JavaScript and CSS functions in the code.Have you ever wanted to move to a new area but didn't know about the local conversions and didn't want to do the countless hours of research required to move? Birdhouse has got you covered. Whenever you want to move, just check out our handwritten budgets for each area, combined on a single website. Moreover, you can use AI for more personalized requests! (e.g private school, rural area, big hospital, big family.
Background: This was our project for Kainos hacks, a 6 hour hackathon. We didn't finished it during, so I brought it back home to developed it into a full ship. I learnt openai API using js (hosting html with flask was too hard) and polished off my rusty html skills.
I was the front end & backend developer for this project, and my two other teammates were focused on developing the blogs, art, and slide decksIntergraded blog + small quality of life changes to my personal website:
*the intern blog is going to be coming soon, since I haven't finished the internship yetWent to Starterhacks! My teammates @EddieBian and @KahanShah and Richard (who isn't on slack) all contributed hugely to the project. Of course of two days, we build TensorBuild; an drag and drop no-code web application for building tensorflow nerual networks. Every "block" is a new layer, of which is function built with tensorflow in the flask backend. This goal of this project is to educate notice hackers about AI; some people might pick up the logic of neural networks and how a few layers work by watching youtube videos, but don't understand how to make a neural network with tensorflow (since the sytax is confusing). Therefore, Tensorbuild aims to bridge that gap, allowing it's user to drag layers to form a neural network and train it on the website. I worked on the backend, particularly the TensorFlow functions, as debugging on all fronts 😄
