Aayush Jangir's Work | Contra
Work by Aayush Jangir
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Aayush Jangir
Create my own world
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Sadulpur, India
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Sadulpur, India
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š Excited to launch my latest full-stack project: The Dual-Department AI SOC & Bug Bounty Command Center! Are you tired of standard, boring security dashboards? I built a fully automated, gamified multi-agent platform that brings AI security operations to life using a 2D Pixel-Office simulation. The system acts like a real-life virtual cybersecurity firm with 11 specialized autonomous agents, split into two distinct departments: š”ļø 1. Cyber Crime Branch (Forensics & OSINT): Automated EXIF metadata & GPS extraction from media files. Email header hop tracing & SPF/DKIM verification. Public username footprinting & threat intel reputation lookups. šÆ 2. Bug Bounty & AppSec Lab (Recon & Vulnerabilities): Live subdomain asset mapping & JS endpoint extraction. High-entropy regex scanning for exposed API keys & JWT secrets. Deterministic security misconfiguration audits (CORS reflection, Clickjacking, & Origin IP leaks). ⨠Key Highlights: Real-time 2D Visuals: Built with Next.js and Phaser.js v3, where character sprites walk to their assigned desks, work on live terminals, and take coffee breaks during idle states (synced via WebSockets at 60fps). Zero False Positives: Powered by a LangGraph & FastAPI backend featuring a dedicated PoC Verifier Node that runs deterministic Python checks before compiling final reports. Live Terminal Stream: Integrated xterm.js drawer to monitor agent stdout/stderr logs in real time. š ļø Tech Stack: Python 3.11, FastAPI, Async Socket.io, LangGraph, Next.js, Phaser.js v3, xterm.js. Perfect for developers, security enthusiasts, or teams looking to integrate gamified multi-agent automation into their security workflows! š Interested in getting the complete source code or setting this up? Check out the link below or drop a DM to grab your license! š
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BizPilot is an intelligent, AI-powered business workflow automation agent designed to streamline routine administrative tasks, process business data, and provide instant actionable insights through a clean, interactive dashboard.
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Developed an advanced, full-stack multi-agent AI orchestration system inspired by modern office simulation frameworks, tailored specifically for cybersecurity research and automated bug hunting. The platform features a Dual-Department architecture split into a Cyber Crime Branch (Digital Forensics & OSINT) and a Bug Bounty Lab (AppSec & Recon), managed by an autonomous Chief Orchestrator ("Michael"). Equipped with deterministic verification nodes to eliminate hallucinations and ensure 100% reliable security findings.
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DeepShield is an agentic deepfake and scam defense platform designed to help users and AI agents analyze suspicious calls and documents. The project combines forensic analysis with x402 micropayments on Algorand Testnet, enabling protected security APIs to be accessed through HTTP 402 payment negotiation. The goal is to provide explainable risk analysis, evidence hashing, and verifiable on-chain transaction receipts through the LoRA Algorand Testnet Explorer.
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