π€ Latest Submissions
Intelligent Infrastructure Operations Platform
SentinelAI is a cloud-native enterprise platform designed to simplify AI governance, infrastructure monitoring, compliance management, and automation workflows for modern IT and network operations teams. The platform combines AI-driven analysis with real-time operational visibility to help organizations improve security, efficiency, and compliance readiness. The solution was developed using FastAPI for backend REST APIs, Streamlit for the frontend dashboard, and Google Cloud Run for cloud deployment. SentinelAI integrates enterprise concepts such as AI governance validation, infrastructure monitoring, audit logging, compliance dashboards, and automated operational workflows into a single unified platform. The AI Governance module analyzes prompts and operational requests to identify potentially risky or unauthorized actions before execution. Infrastructure Monitoring provides visibility into enterprise devices, system health, and operational metrics. Automation Workflows allow predefined tasks such as VPN restart operations and network remediation actions to be triggered securely from the dashboard. The Audit Logging module tracks operational activities for accountability and troubleshooting, while the Compliance Engine validates infrastructure health and governance status against enterprise standards. The project demonstrates modern cloud-native architecture using Google Cloud services including Cloud Run and Cloud SQL concepts while showcasing scalable deployment practices, API integration, and secure enterprise dashboard design. SentinelAI was created to address real-world enterprise challenges including operational complexity, security governance, compliance tracking, and AI-assisted network operations. The platform provides a Cisco-style monitoring experience with a centralized dashboard and modular navigation, making it suitable for enterprise infrastructure management, AI security governance demonstrations, and next-generation network automation use cases.
19 May 2026
AI-network-incident-response-agent
This project is an AI-powered multi-agent Network & Security Incident Response platform built using Streamlit, HuggingFace LLMs, LangChain, ChromaDB, and AMD GPU infrastructure. The system ingests network and security logs, classifies them into relevant domains, and routes them to specialized AI agents for network troubleshooting, security analysis, and Root Cause Analysis (RCA). Using Retrieval-Augmented Generation (RAG), semantic log understanding, and multi-agent orchestration, the platform correlates events such as BGP flapping, OSPF instability, packet drops, firewall anomalies, and CPU spikes to generate intelligent troubleshooting insights, remediation steps, and verification commands in real time.
10 May 2026
ThreatLens- AI-Powered Security Dashboard
Agentic AI-Powered SOC Dashboard for Real-Time Threat Detection This project is a cloud-based Security Operations Center (SOC) dashboard designed to perform real-time threat detection and analysis for IP addresses and domain names. The system uses intelligent rule-based logic to classify inputs into low, medium, or high-risk categories based on patterns, keywords, and known safe entities. It is built using a Flask backend deployed on Google Cloud Run, with BigQuery used for storing and querying transaction logs. The dashboard provides live monitoring features including a dynamic alerts panel, API usage analytics, KPI metrics, and a paginated transaction table. The UI is designed in a SOC-style format to simulate real-world security tools like Splunk. The platform demonstrates how AI-driven decision logic, cloud infrastructure, and real-time data visualization can be combined to build a scalable and practical cybersecurity monitoring solution.
26 Apr 2026
