aimlops

EvoCloud is a comprehensive Cloud native platform for running internal IDPs, creating Sovereign Clouds on any IaaS, Air-gapped, or Edge. It is built around multi-clustering, multi-tenancy, and hybrid-IaaS with a greater focus on security, AI workload, autonomous operation, and cost saving.

This repository contains an end-to-end walkthrough to leverage Google Cloud services to demonstrate Solution Accelerators for few business domains

DreamtestAI is an AI-powered secure code review tool that scans your codebase using modern LLMs and generates vulnerability reports in Markdown, JSON, or CSV format. Ideal for security analysts, auditors, or developers looking to automate secure code review.

This repository showcases the Machine learning projects I made using AWS cloud

RiftGuru uses hybrid rule-based and ML-augmented detection to identify clutch moments in League of Legends matches. <------------------------------------------>Built for the AWS AI Hackathon 2025 | Processes Riot API data through a serverless pipeline to generate AI-powered narratives of your best plays.

Building scalable Cloud & DevOps solutions across Automation, Infrastructure, DevSecOps, Observability, FinOps, AIOps, MLOps & AI.

This repository features Indian Sign Language detection and Sentence Generation service. The project is containered and pushed on docker, hence can be ran on both Docker and LocalHost

At Zentrix we believe in transpency and security of disclosure agreements with freelance marketplace, our ai agents and contracts keeps your contract secure and ensures the work is to be done within milestone basis. Freelancers will be paid as per milestone they achieved throughout the project.

Aspiring Data Scientist | Machine Learning Enthusiast | Curious Problem Solver Welcome to my GitHub! I'm passionate about uncovering patterns in data and building intelligent solutions that make a real-world impact. I love transforming raw data into actionable insights.

Ip-Shakti plateform by RagRebels

A community driven registry service for Model Context Protocol (MCP) servers.

This document explores the red‑hat perspective on how malicious actors probe, manipulate, and exploit vulnerabilities in modern LLMs (Large Language Models) such as GPT, Claude, Gemini, and open‑source variants like LLaMA. By studying these techniques, defenders can build stronger safeguards and anticipate emerging threats.