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Curious whether a Roobet crash predictor actually helps your crash strategy? Start small and test it like you would any new tool: run a few hundred rounds in demo, compare results, and follow a simple crash predictor walkthrough. If you want a ready testing environment, use the roobet predictor demo at Decryptor
SHA-256 is a cryptographic hash function that generates a 256-bit (32-byte) hash value. It is widely used to ensure data integrity and security by creating a unique digital fingerprint for a given input, making it highly resistant to tampering or duplication.
B.Tech Final Year Project 2021-2025. A smart agriculture monitoring system integrating IoT sensors, Blockchain, and Machine Learning to improve crop productivity, ensure secure data handling, and provide real-time monitoring for farmers.
The method for creating a secured patient's data transfer using blockchain simulation on localhost. The simulation implements a cryptographic algorithm to ensure the security of the blockchain blocks. The cryptographic algorithm used is the SHA-256 (Secure Hash Algorithm 256-bit).
Pixshotcryption is an interactive cybersecurity tool that combines advanced encryption and steganography to securely hide messages in images. Ideal for confidential communication, securing intellectual property, and digital media integrity verification where data security is critical.
System that authenticates users via camera EXIF metadata and cryptographic signatures. Prevents image forgery and duplicate uploads using RSA+AES hybrid encryption. Includes telephone-based login and admin verification.
This project demonstrates the implementation of a simple user registration, login, and account removal system using Python 3.11 with a MySQL/MariaDB database. The system uses Object-Oriented Programming (OOP) principles and the MVC (Model-View-Controller) architecture. It utilizes the SQLAlchemy ORM to interact with the database...
This Attendance System that uses facial recognition to automatically mark student attendance. It features admin and student logins, real-time face detection, attendance tracking, email reporting, and secure password management. Built with Python (Tkinter, OpenCV, and Pillow), it replaces manual attendance with automated facial verification.
LedgerLens is a full-stack, tamper-evident research notebook built with FastAPI, SQLModel, React, and Tailwind. It ensures data integrity using SHA-256 hash chaining, supports file attachments, real-time verification, Dockerized deployment, and includes tests with CI for reliability.