Nour
Aawar

A multi-agent AI system for real-time incident analysis and response. Features a RAG pipeline over MITRE ATT&CK and NIST playbooks, integrates AbuseIPDB and VirusTotal APIs for IOC analysis - achieving 95% attack classification accuracy across simulated scenarios.

Full-stack exchange rate platform with secure backend APIs and a responsive frontend. Implements JWT authentication, RBAC, and rate limiting. Features analytics, time-series data, P2P marketplace, alerts, and real-time dashboards.

Multi-agent AI system with supervisor-based routing and semantic music knowledge retrieval via RAG. Integrates voice interaction (Whisper + TTS), containerized with CI/CD pipeline and safety guardrails.

Implemented the full DES algorithm with a graphical interface, including step-by-step round visualization and an interactive avalanche effect analysis using bit-level heatmaps.

Fully offline assistive system using on-device AI for real-time speech interaction, object detection (YOLOv8), OCR, audio feedback - optimized for embedded hardware constraints.

Real-time sign language recognition system with a custom dataset, an LSTM deep learning model, and live webcam-based gesture detection with prediction overlay.

Low-level Morse code encoder in RISC-V assembly with efficient ASCII-based character processing, uppercase conversion, and table lookup for real-time output on the RARS simulator.

Small-scale e-commerce platform with a GUI client and TCP-based server. Features user authentication, product management, search, currency conversion API, real-time messaging, and SQLite storage.