DEG-C v2

DEG-C-v2: Dheeraj's Entropy Generator (C Version)

🚀 Overview

DEG-C-v2 is a significantly improved, fully offline, terminal-based entropy generator written in C. It combines multiple sources of randomness and advanced mathematical transformations to produce high-entropy outputs.

✨ Features

• Multi-source entropy mixing: Combines manual temperature input, human-random input, and system randomness.
• Advanced non-linear transformations: Uses sine, cosine, logarithms, square roots, and bitwise operations for enhanced entropy.
• Robust input validation: Ensures all user inputs are within valid ranges.
• Random coordinate generation: Outputs latitude and longitude values based on mixed entropy.
• 5-digit entropic random number: Final output is a high-entropy number in the range 00000–99999.
• User-friendly interface: Clear prompts, formatted output, and option to rerun without restarting.
• Offline and privacy-friendly: No internet required; all randomness is generated locally.

🛠 Usage

1. Compile the program:

   gcc DEG-C-v2.c -o degc

2. Run in terminal:

   ./degc

3. Follow prompts:

   • Enter a temperature value (between -100 and 100).
   • Enter a random number (between 1 and 99).
   • View generated coordinates and entropic number.
   • Optionally, rerun for new results.

📦 Output Example

===== DEG-C v2 - Dheeraj's Entropy Generator (Improved C Version) =====
Enter a temperature value (manual/random, -100 to 100): 25
Enter a random number (1–99): 42

📍 Random Coordinates Generated:
Latitude: 12.345678
Longitude: -98.765432

🔐 Final Entropic Random Number: 12345
=============================================================
Run again? (y/n):

📚 How It Works

• Entropy Mixing: The program combines user inputs and system randomness, then applies non-linear mathematical functions to maximize unpredictability.
• Coordinate Generation: Entropy is mapped to latitude and longitude ranges.
• Final Number: A 5-digit number is derived from the mixed entropy, suitable for use as a random seed, password, or other applications.

🧑‍💻 Author

Developed by Dheeraj Kumar

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DEG-C-v2 is an experimental project for exploring entropy generation in C. Feedback and suggestions are welcome!

File:
DEG-C-v2.zip

CEG-v3

🔐 Chaotic Entropy Generator (CEG) Version 3

Chaotic Entropy Generator (CEG) is a next-gen GUI-based entropy generator that transforms user-provided seeds and optional dates into unique, high-entropy strings using a mix of real-world weather data, advanced math randomness, system info, and hashing algorithms.

🛠 Developed by: DheerajKumar.N
🎯 Version: v3.0

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✨ What's New in v3.0?

• 🧠 Advanced Entropy Algorithm: Combines seed, geo coordinates, weather, system info, and current time for more unpredictable entropy.
• 🔢 Custom Entropy Length: Select output length (1–128 characters).
• 🌐 Offline Mode Toggle: Instantly switch between online weather and offline pseudo-random temperature.
• 🛡️ Input Validation: Improved checks for seed and entropy length, with clear feedback.
• 🎨 Theme System Upgrade: More robust widget registration and theme application; added "Classic" theme.
• 🖥️ UI/UX Improvements: Better error handling, more informative output, and improved resource loading.
• 🧩 Code Quality: Refactored for readability, modularity, and maintainability.
• 🏗️ Robustness: Handles missing assets gracefully, and falls back to offline mode if weather API fails.
• 🐞 Packaging: Improved startup error reporting for easier debugging.

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🚀 Features Overview

• 🔢 Input seeds between 1–22 digits
• 🔢 Select entropy output length (1–128 characters)
• 🌎 Converts input into pseudo-random geo coordinates
• 🌡 Pulls real-time or fallback weather from Open-Meteo
• 🧠 Combines system info, time, and seed hash for extra entropy
• 🔒 Converts combined data into a high-entropy string
• 🖥 Clean, intuitive UI built with customtkinter
• 📁 Save and copy results directly from interface
• 🎨 Multiple themes and dark/light mode toggle
• 🧪 Modular codebase (main.py, ui.py, logic.py, themes.py) for easier expansion

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🖼️ UI Preview

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🧩 Modules

• main.py — Application entry point
• ui.py — All UI logic and widgets
• logic.py — Entropy generation and weather processing
• themes.py — Theme settings and widget registry

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⚙️ How to Run

🔵 Windows (.exe)

Just double-click the CEGv3.exe

🐍 From Source (for devs):

pip install -r requirements.txt
python main.py

📁File:

CEG-v3.zip

💡 Notes

• If weather API is unavailable, CEG-v3 automatically falls back to offline mode.
• All entropy generation logic is modular and easy to extend.
• For best results, use a unique seed and select a custom date.

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📜 License

MIT License

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ChaoticEntropy Generator v3 — Unpredictable entropy, made simple.

CEG-v2 (UI based)

🔐 Chaotic Entropy Generator (CEG) Version 2

Chaotic Entropy Generator (CEG) is a next-gen GUI-based entropy generator that transforms user-provided seeds and optional dates into unique, high-entropy strings using a mix of real-world weather data, math randomness, and hashing algorithms.

🛠 Developed by: DheerajKumar.N
🎯 Version: v2.0

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✨ What's New in v2.0?

• 🎨 Theme Support: Choose from multiple visual themes like Ocean, Sunset, Cyberpunk, Hacker, and more!
• 🌙 Dark/Light Mode Toggle: Switch between dark and light UI dynamically.
• 📅 Date Input: Select a custom date for entropy calculation (optional).
• 🔁 Animated UI Element: Looping entropy GIF (currently disabled in EXE).
• 📋 Clipboard & Save Buttons: Copy entropy to clipboard or save it as .txt.
• 📦 Packaged .exe for one-click use (no need to install Python).
• 📁 Cross-platform Ready: Designed to be compatible with Linux/macOS too.
• ⚡ Improved UI performance and structure (modularized code into files).

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🚀 Features Overview

• 🔢 Input seeds between 1–22 digits
• 🌎 Converts input into pseudo-random geo coordinates
• 🌡 Pulls real-time or fallback weather from Open-Meteo
• 🔒 Converts combined data into a 64-character entropy string
• 🖥 Clean, intuitive UI built with customtkinter
• 📁 Save and copy results directly from interface
• 🧪 Modular codebase (main.py, ui.py, logic.py, themes.py) for easier expansion

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🖼️ UI Preview

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🧩 Modules

• main.py — Application entry point
• ui.py — All UI logic and widgets
• logic.py — Entropy generation and weather processing
• themes.py — Theme settings and widget registry

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⚙️ How to Run

🔵 Windows (.exe)

Just double-click the CEGv2.exe

🐍 From Source (for devs):

pip install -r requirements.txt
python main.py

📁File: 
https://drive.google.com/file/d/1w8UhVwdUrsSEN9MBPPoNs87G2xq7BIHq/view?usp=sharing
since github has limit of 25mb

CEG-v1 (UI based)

🔐 Chaotic Entropy Generator (CEG) Version 1

Chaotic Entropy Generator is a User-Interface based entropy string generator based on user input, complex math transformations, and real-world weather data. This tool turns a 1–22 digit number into a 64-character entropy hash using chaotic but deterministic algorithms.

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🚀 Features (v1.0)

• 📌 Input up to 22-digit numeric seeds
• 🌍 Converts seed into pseudo-random latitude & longitude
• 📅 Fetches temperature from that location from a past random day (1–30 days ago)
• 🧠 Generates a 64-character entropy hash using SHA-512
• ❄️ Dark themed professional UI using customtkinter
• 🔁 Fallback algorithm for synthetic temperature if no weather data available
• ⚡ Packaged as .exe for easy double-click launch on Windows (no terminal needed)

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🖥️ UI Preview

💻 Running Application

Just run the windows executable file (.exe)

📁 Application file:
CEG-v1.zip

DEG v1 (Python-Terminal based)

Dheeraj's Entropy Generator version 1

(DEG v1) is a hybrid entropy generator.
Made using python.

It combines human randomness, environmental noise (like temperature), and complex math to create unpredictable numbers and coordinates. Non-linear math functions are used to make seed number as unpredictable as possible.

File:
DEGv1.zip

DEG-C_v1 Pre-Release (C- language, Terminal based)

🛠 C Version: Dheeraj's Entropy Generator

• Fully offline, terminal-based entropy generator
• Uses:
  • Manual temperature input
  • Manual human-random input
• Applies non-linear transformations (sine, square roots, etc.)
• Generates and prints:
  • Random coordinates
  • Final entropic number (within 0–99999)
    

file:
DEG-C v1.zip