FuzzuTech Projects

  Demo : Click Video 👇👇👇 🔹 Intro : Want to build your own AI-powered malware scanner? 💻 This Python GUI project uses a machine learning model to classify files based on their hash and size. With a hacker-style dark GUI and real-time detection, this project is perfect for ethical hacking and cybersecurity enthusiasts. 🔹 Features : - 💡 Uses AI (Random Forest) to scan .exe, .pdf, .zip files - ⚙️ Built with Python, customtkinter, and hashlib - 🔐 Classifies files as Safe or Suspicious - 🧠 Smart feature extraction from file size & SHA256 hash - 🌙 Modern dark-mode GUI (desktop style) - 🎯 Ideal for cybersecurity learners & ethical hackers Code : import os import customtkinter as ctk from tkinter import filedialog from sklearn.ensemble import RandomForestClassifier import joblib import hashlib # 1. Create Dummy Model (if not exists) MODEL_PATH = "model/malware_classifier.joblib" def create_dummy_model():     os.makedirs("model", exist_ok=True)    ...

  Demo : Click Video 👇👇👇 Features: Built with Tkinter GUI Uses Matplotlib for charts Real-time data tracking Monthly summary by category Clean dark mode UI Great for portfolios and students Code : import tkinter as tk from tkinter import ttk, messagebox from datetime import datetime import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg class ExpenseTrackerApp:     def __init__(self, root):         self.root = root         self.root.title("💸 Personal Expense Tracker - FuzzuTech")         self.root.geometry("600x450")         self.root.config(bg="#121212")         self.expenses = []  # List to store expenses as tuples (date, category, amount)         title = tk.Label(root, text="Personal Expense Tracker", font=("Arial", 20, "bold"), fg="#00ff99", bg="#121212")       ...