FuzzuTech Projects

━━━━━━━━━━━━━━━━━━━━ 🤖 TRUTHSCAN AI — AI Behavior Analysis Engine Using Python What if an AI could analyze your facial and behavioral patterns and generate a suspicion estimate? TRUTHSCAN AI is a futuristic experimental AI behavior analysis application built with Python and computer vision concepts. The application analyzes visual behavioral signals such as facial stability, eye movement, expression changes, head movement, and behavioral consistency through a modern desktop interface. This project combines Python, OpenCV, computer vision, real-time camera processing, behavioral metrics, and a modern GUI to create a futuristic AI software experience designed for experimentation, learning, and technology demonstrations. The project is also designed with a recording-friendly interface, making it suitable for Python project demonstrations, AI technology videos, coding content, software showcases, and YouTube Shorts. ━━━━━━━━━━━━━━━━━━━━ 🔥 What Is ...

━━━━━━━━━━━━━━━━━━━━ 📖 Introduction In this tutorial, we will build a modern Python Hand Gesture Control System using Python, OpenCV, MediaPipe, and CustomTkinter. This Python computer vision application uses a webcam to detect a human hand in real time, analyze hand landmarks, recognize different finger gestures, and perform computer actions without touching the keyboard or mouse. The application includes real-time webcam processing, hand landmark detection, finger state analysis, gesture recognition, mouse cursor movement, left click control, right click control, scrolling actions, volume control, live gesture status, camera preview, and a modern recording-friendly 9:16 CustomTkinter GUI. This Python project is perfect for learning computer vision, hand tracking, gesture recognition, OpenCV image processing, MediaPipe hand landmarks, Python automation, mouse control, keyboard control, Python threading, and modern desktop GUI development using CustomTkinte...

━━━━━━━━━━━━━━━━━━━━ 📖 Introduction In this tutorial, we will build a modern AI Phishing Link Detector GUI using Python and CustomTkinter. This Python cybersecurity application analyzes suspicious URLs, detects common phishing indicators, calculates a heuristic URL risk score, identifies potentially dangerous link patterns, and displays the security analysis inside a modern cybersecurity dashboard. The application includes URL structure analysis, HTTP and HTTPS protocol checking, suspicious keyword detection, IP address based URL detection, excessive subdomain analysis, Punycode domain detection, multiple hyphen detection, encoded character detection, abnormal URL pattern analysis, phishing risk score calculation, real-time scanning progress, security alerts, and a modern recording-friendly 9:16 CustomTkinter GUI. This Python cybersecurity project is perfect for learning Python GUI development, URL parsing, regular expressions, phishing awaren...

  Demo : Click Video 👇👇👇 📌 Features Embedded YouTube Short 🎥 Project explanation (code + GUI screenshots) SEO keywords for AI in Cybersecurity, Python GNN, Threat Detection App Code : # gnn_threat_gui.py # Machine Learning – Graph Neural Networks (GNNs) for Threat Detection # "Network traffic ko graph ke form mein analyze karke attacks pakadna + CTkinter GUI" # Author: FuzzuTech Plan (Modern + Stylish + Attractive) import os import sys import time import math import threading import queue import random from dataclasses import dataclass, field from typing import Dict, List, Tuple # ---- Third-party ---- import numpy as np import torch import torch.nn as nn import torch.optim as optim import networkx as nx import matplotlib matplotlib.use("Agg")  # for off-screen draw; embedding handles canvas import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg import customtkinter as ctk import tkinter as tk from tkinter impor...

  Demo : Click Video 👇👇👇 📌 Features : Built with Python using tkinter + customtkinter Suggests viral Instagram hashtags by topic Preloaded AI dataset with fallback logic One-click clipboard copying AI-ready code block for OpenAI integration Dark Mode GUI interface Perfect for creators, marketers, influencers, and developers Fully offline compatible! Code : import tkinter as tk from tkinter import messagebox import customtkinter as ctk import random # Optional OpenAI Integration # import openai # openai.api_key = "YOUR_OPENAI_API_KEY" # Set appearance ctk.set_appearance_mode("System") ctk.set_default_color_theme("blue") # Sample Hashtag Dataset (Simulated AI Fallback) hashtag_data = {     "fitness": ["#FitnessLife", "#GymTime", "#WorkoutGoals", "#NoPainNoGain"],     "travel": ["#Wanderlust", "#TravelDiaries", "#ExploreMore", "#Adventur...

  Demo : Click Video 👇👇👇 📝 Features: Real-time AI detection GUI built with Tkinter Works on any PC Built for tech lovers & Python learners Includes full source code (link in YT comments) Code : import tkinter as tk from tkinter import messagebox import cv2 from PIL import Image, ImageTk import threading class FaceLockApp:     def __init__(self, root):         self.root = root         self.root.title("Face Lock System")         self.root.geometry("700x500")         self.root.configure(bg="#121212")         self.root.resizable(False, False)         # Title         self.title_label = tk.Label(root, text="🔒 Face Lock System", font=("Segoe UI", 24, "bold"), fg="#00fff7", bg="#121212")         self.title_label.pack(pady=20)         # Video frame border     ...