Can I Win A Hackathon? This is my second hackathon at Mountainhacks, we used a tech stack of Python, HTML, Tailwind CSS, React JS, Pickle, PyTorch, etc. VIEW THE CODE: https://github.com/neel-banga/mountainhacks VIEW THE SUBMISSION: https://devpost.com/software/brain-wave?ref_content=my-projects-tab&ref_feature=my_projects 🔥 I PREDICTED THE STOCK MARKET WITH AI! ➡️ https://youtu.be/0lvqJ-XdjtQ ⏱️⏱️VIDEO CHAPTERS⏱️⏱️ 🔔 Subscribe for more videos just like this: https://www.youtube.com/@NeelsTechShow/sub_confirmation=1 CHAT WITH US! =============================== 🛠️ - EMAIL: [email protected] 🎵 - TIKTOK: https://www.tiktok.com/@neels_tech_show 💬 - DISCORD: https://discord.com/invite/UbWFK4je7B 🧑💻 - GITHUB: https://github.com/neel-banga/ 🐦 - TWITTER: https://twitter.com/NeelBanga #neelstechshow #coding #programming
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Dammmn bro.... Let's connect ❤❤❤❤
I'm 13 too, currently im training my own Chatbot using PyTorch in Python, and yep that is hard, but at this age things are easy to understand and implement.
Imagine he tests the ai on himself, and he’s positive for cancer ✌️
Gng that first place better be the god damn cure to cancer
Nah Making Ur OWN AI Model is Crazy shit, i Woulda Either Used API Keys Or just made a chatbot prolly😭😭
Congrats bro
Everyone else: doing their best to not break their entire code with a spelling mistake Me: "yo gpt make me something cool for a hackathon"
First place cured Cancer
for cancer in cancer: print("cancer")
How do you even test it?😭😭
"Bro you look like a fro-" that killed me 🤣
I have a qst , do they allow u to use internet or chatgpt ?
Did you use pytorch? Also, for the people who think it's a super hard project, yes it is, but if you learn the basics, you can do it too. I am kind of a nerd, and I love explaining nerdy concepts, so here we go. So this is basically machine learning, you give the computer a big chunk of data, and it learns patterns from it, in this context, they are using a neural network, which is basically, a network of layers and neurons, yes like our brain. So the first layer is called the input layer, you put the data inside the network and then you have a bunch of hidden layers where you specify number of neurons for each, like 64,128,256,and so on, hidden layers have many types, but for this task, people usually use convolutional layers, so basically, the convolutional layers, go through each of your image, put up a sliding window on it, and learn patterns, so for example a cat, it first checks the eyes of the cat, sees patterns, so it knows that cat eyes look like this, finally there is the output layer, which basically outputs your predictions, I may be very wrong, but that's usually how this is built, but still it's very impressive, hats off to you!
"Its only right 20% of the time" Just switch it aroud after to make it 80%
This is awesome bro
lol ur typing habit is kind of similar to mine, I can tell it by looking at your keyboard lol
Whenever I feel like I am not good enough in DSA and Development, I see these guys... I feel way better...
Frog💀💀
"try to learn web development and fail after 8 months of trial" 13m yr olds : build cancer detecting AI
"An Ai app that can detect early stage cancer" howwww my bro, can you give a walkthrough!!