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crypto-detector-

Crypto Detector with AWS Lambda for PHP: A project for detecting suspicious cryptocurrency activities and running PHP applications securely on AWS Lambda, integrating advanced threat detection and serverless architecture.

docker-image

This Docker image is built using the Ubuntu 22.04 LTS operating system as its base and includes Apache 2.4 web server along with PHP 8.1. It is specifically tailored for deployment in AWS (Amazon Web Services) environments and is optimized for hosting high-density PHP applications. The image has been tested to work seamlessly with popular content

fast-api

In the realm of financial security, authenticating banknotes is crucial to combat fraud and ensure the integrity of monetary transactions. This project aims to leverage advanced machine learning techniques and the FastAPI framework to develop a robust API for predicting the authenticity of banknotes. analyzing features extracted from high res

intro-to-cloud-architecture

Comprehensive notes and resources for beginners to intermediate learners on cloud architecture principles and practices.

jp-morgan-project

Completed J.P. Morgan's Software Engineering simulation on Forage: Set up a local dev environment, fixed broken files, and used Perspective to generate live data graphs.

jp-morgan-project-software-engineering

Analyzed complex datasets to identify key features, queried data for specific insights, and implemented cybersecurity measures to enhance data protection.

mask_rcnn

openssl-crypto-cli

Utilisees OpenSSL's command line interface to perform cryptographic operations for encrypting and decrypting files or streams. This involves employing symmetric key algorithms such as AES (Advanced Encryption Standard) to ensure secure data transmission and storage, adhering to cryptographic best practices

pwc_project-

Successfully completed a PwC virtual case, advancing Power BI skills to address cybersecurity and cloud architecture requirements. Developed comprehensive dashboards that effectively communicated key performance indicators (KPIs), showcasing proficiency in data visualization and deliver

sal

React Native + Google Vision API mobile application to identify objects in pictures taken using the phone

sal-dev-setup-guide

Ensure that you do not run these scripts on public Wi-Fi networks due to potential security risks. Public networks are more susceptible to attacks, and using them can expose your system to vulnerabilities. If necessary, use VPN services to mask your IP address and secure your connections.

sal-docker

This Docker setup provides a streamlined environment for deploying and managing the lane detection and driver monitoring system. It includes: Base Image: Ubuntu 22.04 LTS with Apache 2.4 and PHP 8.1, optimized for high-density PHP application hosting. Configuration: Includes configurations for running multiple PHP applications and custom setups

sal-encryption-cli

Provides OpenSSL utilities for encrypting and decrypting data and development files. Integrates with Sal’s Docker setup to ensure secure handling of sensitive information using AES encryption.

save-a-life

Transforming road safety with advanced statistical analysis and modeling. Join us in revolutionizing driver assistance systems!