I randomly decided to learn Python last week and ended up making an adaptable and modular AI model from scratch.

## note:

i’m just a 14 yo newbie in this stuff (i watched no courses). i just tried to observe my behaviors and how people react, then implement it into code with no hard coding (just raw). so don’t expect much — i just need feedback.

## 📝 details:

• built from scratch — no ML libraries or frameworks

• just pure logic + 3 built-in libraries

• it tries to mimic how a brain works: raw, flexible, always learning

• it’s so optimized it can run 10+ layers on a phone

• it currently predicts the next character from an input string.

• i paused the looping/thinking part until i confirm it’s actually learning properly.

• it’s super modular — you can tweak the number of neurons/layers in real time, and it adapts on the fly (like a real brain).

• it even handles corrupted or missing save files like a champ.

• ASCII input only for now, but i’m working on vision + hearing modules next.

• it learns live while running, so yeah… it might fry your potato laptop.

• you can even mutate two brains by merging their save files (yes, brain children exist 💀)

this is the second version, btw.

## 🔗 links:

VirusTotal scan (clean)

Download the .exe from Google Drive

watch a video where i train it on a phone (yes... a phone)

## 🔍 if you want proof it works:

check the video link above where i enter “hello” twice on a phone 📱

you’ll clearly see the total error drop massively in just one loop (like 634 to 62, or 500 to 2)

## ⌨️ commands:

/options — enter setup process

/save — saves current weights

/exit — saves + exits

## ⚠️ note:

use a lower learning rate if the total error keeps going up (might be exploding gradients — i think it can recover from it though)