FuzzuTech Projects

━━━━━━━━━━━━━━━━━━━━ 📖 Introduction In this tutorial, we will build a modern Python AI Encryption and Data Analyzer GUI using Python and PyQt6. The project is called CRYPTBREAK AI . It is an educational cybersecurity application that uses an AI API to analyze user-provided encoded, hashed, obfuscated, or encryption-like data and explain what type of data it appears to be. The application includes an AI-powered analysis system, automatic demo data generation, Base64 detection, Hex decoding, URL encoding detection, ROT13 analysis, Caesar Cipher demonstrations, MD5 detection, SHA-1 detection, SHA-256 detection, random ciphertext generation, confidence scoring, security explanations, and a recording-friendly portrait interface. The application is designed especially for learning Python GUI development, PyQt6 application development, AI API integration, cybersecurity concepts, data encoding, hashing, weak classical ciphers, and the difference between encoding, h...

  Demo : Click Video 👇👇👇 ✨ Features One-click screenshot upload Edge & EXIF metadata scan Edit-trace detection Real/Fake verdict panel Modern hacker-style UI Built with Python + OpenCV + CustomTkinter Code : import customtkinter as ctk from tkinter import filedialog from PIL import Image, ImageTk import cv2, numpy as np, exifread ctk.set_appearance_mode("dark") ctk.set_default_color_theme("green") app = ctk.CTk() app.title("AI Screenshot Truth Detector") app.geometry("620x550") result_text = ctk.StringVar(value="Upload a screenshot to analyze...") def analyze_image():     file = filedialog.askopenfilename(filetypes=[("Images", "*.png *.jpg *.jpeg")])     if not file:         return          img = cv2.imread(file)     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)     edges = cv2.Canny(gray, 100, 200)     suspicious_pixels = np.sum(edges > 0)     wi...

  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 to Mention: Built with customtkinter Schedules IG post reminders with image preview Lightweight & open-source Great for creators, marketers, and developers Unique interface & minimal design Works offline! Code : import customtkinter as ctk from tkinter import filedialog, messagebox from PIL import Image, ImageTk import threading, datetime, time import os # App setup ctk.set_appearance_mode("dark") ctk.set_default_color_theme("blue") app = ctk.CTk() app.geometry("600x600") app.title("📅 Instagram Post Scheduler - FuzzuTech") # Image placeholder img_label = ctk.CTkLabel(app, text="No Image Selected") img_label.pack(pady=10) # Caption entry caption_entry = ctk.CTkTextbox(app, height=100) caption_entry.insert("0.0", "Enter your Instagram caption here...") caption_entry.pack(pady=10) # Date-time entry date_entry = ctk.CTkEntry(app, placeholder_text="YYY...

  Demo : Click Video 👇👇👇 🌟 Features Section: Built with Python + Tkinter GUI Uses AI techniques to detect suspicious content Analyzes .eml files offline Real-time phishing alert system Beginner-friendly GUI Ideal for students, cybersecurity learners, and tech lovers Code : import tkinter as tk from tkinter import filedialog, messagebox from tkinter import ttk import email from email import policy from email.parser import BytesParser import re def analyze_email(file_path):     with open(file_path, 'rb') as f:         msg = BytesParser(policy=policy.default).parse(f)     subject = msg['subject'] or ""     from_addr = msg['from'] or ""     body = msg.get_body(preferencelist=('plain')).get_content() if msg.get_body(preferencelist=('plain')) else ""          score = 0     if re.search(r'urgent|immediate action required', subject, re.IGNORECASE):      ...

Demo : Click Video 👇👇👇 Features: Instant file encryption & decryption Auto log tracking Beginner-friendly CustomTkinter UI Works offline 100% open source Code : import customtkinter as ctk from tkinter import filedialog import os, json from cryptography.fernet import Fernet from datetime import datetime ctk.set_appearance_mode("dark") ctk.set_default_color_theme("blue") KEY_FILE = "vault.key" LOG_FILE = "access_log.json" # Generate key if not exists if not os.path.exists(KEY_FILE):     with open(KEY_FILE, "wb") as f:         f.write(Fernet.generate_key()) with open(KEY_FILE, "rb") as f:     key = f.read() fernet = Fernet(key) if not os.path.exists(LOG_FILE):     with open(LOG_FILE, "w") as f:         json.dump([], f) class VaultBox(ctk.CTk):     def __init__(self):         super().__init__()         self.title("🔒 VaultBox - File Locker") ...

    Demo : Click Video 👇👇👇 Features : Voice recording with sounddevice Feature extraction with librosa ML prediction using dummy models Tkinter GUI interface Code : import os import librosa import numpy as np import sounddevice as sd import scipy.io.wavfile as wav from sklearn.preprocessing import StandardScaler from tkinter import * from tkinter import messagebox # Constants DURATION = 5  # seconds SAMPLE_RATE = 22050 FILENAME = "record.wav" # Dummy model simulation (mocked for this example) def load_models():     class DummyModel:         def predict(self, X):             return ["Male"] if np.mean(X) > 0 else ["Female"]     class DummyAgeModel:         def predict(self, X):             avg = np.mean(X)             if avg < -5:                 return ["Child...

  Demo : Click Video 👇👇👇 📌 Features : ✅ Full source code (in formatted blocks or embedded from GitHub/Gist) ✅ Live preview GIF or image of GUI ✅ Download button for ZIP project ✅ YouTube Shorts embed ✅ SEO keywords in headings: Python PDF Editor , Tkinter Projects , AI PDF Tool Code : import tkinter as tk from tkinter import filedialog, messagebox, simpledialog from tkinter import ttk import os from PyPDF2 import PdfReader, PdfWriter import fitz  # PyMuPDF from PIL import Image, ImageTk class PDFEditorApp:     def __init__(self, root):         self.root = root         self.root.title("🧩 Advanced PDF Editor | FuzzuTech")         self.root.geometry("1000x600")         self.root.configure(bg="#1e1e2f")         self.root.minsize(800, 600)         self.tk_images = []  # Store references to images         ...