FuzzuTech Projects

  Demo : Click Video 👇👇👇 Description: Add YouTube video embed , short explanation of code, screenshots (from your GUI), and copy description content. Features: ✅ Full working Python code ✅ Real-time IoT demo with MQTT ✅ Beginner-friendly project with GUI Code : # gui_light.py import customtkinter as ctk import paho.mqtt.client as mqtt import json BROKER = "test.mosquitto.org" TOPIC_CMD = "fuzzutech/home/livingroom/light/cmd" TOPIC_STATE = "fuzzutech/home/livingroom/light/state" state = "OFF" def on_connect(client, userdata, flags, rc):     print("Connected:", rc)     client.subscribe(TOPIC_STATE) def on_message(client, userdata, msg):     global state     try:         payload = msg.payload.decode()         data = json.loads(payload)         state = data.get("state", "OFF")         status_label.configure(text=f"Light is {state}", text_color="green" if s...

  Demo : Click Video 👇👇👇 Featured : Thumbnail of “Modern File Explorer UI” (with 📂📄 icons + dark theme text overlay: “Mini File Explorer in Python + CTkinter” ). Features: ✅ Title + Embed YouTube Short ✅ Source Code (full script with highlights) ✅ Step-by-step explanation ✅ Call to action (Subscribe + Follow on socials) Code : import os import shutil import tkinter as tk from tkinter import filedialog, messagebox import customtkinter as ctk # --------------------------- # Modern Mini File Explorer # --------------------------- class FileExplorer(ctk.CTk):     def __init__(self):         super().__init__()         self.title("Fuzzu File Explorer")         self.geometry("600x600")         self.minsize(650, 500)         ctk.set_appearance_mode("dark")         ctk.set_default_color_theme("blue")         self.current...

  Demo : Click Video 👇👇👇 Description: Is Dogecoin hitting $1 in 2025? 🚀 Explore this Python + CTkinter GUI app for DOGE price analysis, whale accumulation index & Monte Carlo forecasts. Features: Embedded YouTube Short Code snippet (GitHub link if you want) Screenshots from GUI (charts, whale proxy, forecast) SEO keywords: Dogecoin price forecast 2025, DOGE $1, Python crypto app, whale accumulation index, Monte Carlo crypto simulation Code : #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ FuzzuTech — DOGE $1 in 2025? (Python + CTkinter GUI) Single-file modern app to visualize DOGE price, compute a simple Whale Accumulation Proxy, run Monte‑Carlo forecasts, and generate a bull/bear/base report. Dependencies (install as needed):     pip install customtkinter matplotlib requests numpy pandas Optional (improves fonts on Windows):     pip install pillow Notes: - Uses public CoinGecko endpoints (no API key). If the API is down, app falls b...

  Demo : Click Video 👇👇👇 Features ✔ Weekly Crypto Market Round-Up App ✔ Python + CTkinter GUI ✔ Live Market Data (Top 10 Coins) ✔ Alerts for Top Movers ✔ Export Summary to Clipboard ✔ Embedded 7-Day Price Chart Code : """ FuzzuTech - Python Crypto Market Round-Up (CTkinter GUI) File: fuzzu_crypto_roundup.py Author: FuzzuTech (Generated for user) Description: A modern, stylish, single-file CTkinter GUI application that fetches crypto market data from the CoinGecko API and shows a weekly market round-up: top movers, small summary, sparkline-like chart for selected coins, and quick alerts. Features: - Fetch top N coins by market cap (default 10) - Show price, 24h change, market cap, and sparkline (mini preview) - Select a coin to view a 7-day chart (matplotlib embedded) - Export quick summary to clipboard - Modern styling using customtkinter Requirements: - Python 3.8+ - pip install customtkinter requests matplotlib pillow Run: python fuzzu_crypto_roundup.py Note: ...

  Demo : Click Video 👇👇👇 Features: ✅ Embedded YouTube Video ✅ Keywords for SEO ✅ Tags from above ✅ Attractive thumbnail Code : # iot_federated_rl_gui.py # Single-file: Python – IoT & Autonomous Protection with Federated Learning + RL (CustomTkinter GUI) # Author: FuzzuTech # Notes: # - No external ML frameworks used; lightweight FedAvg + Logistic Regression (from scratch) using NumPy. # - RL via tabular Q-learning with epsilon-greedy policy. # - Live simulator of IoT traffic + attack scenarios (Normal, PortScan, BruteForce, DDoS). # - Actions: Block, Throttle, Isolate, Honeypot. Reward balances damage vs. mitigation cost. # - GUI: CustomTkinter with tabs (Dashboard, Simulator, Federated Learning, Logs, Settings). import sys import time import json import threading import random from collections import deque, defaultdict import numpy as np import tkinter as tk import customtkinter as ctk from tkinter import messagebox, filedialog from matplotlib.figure import Figure ...