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NeuralEdge Copilot | المساعد الذكي

AI Systems

NeuralEdge Copilot | المساعد الذكي

Bilingual AI Portfolio Copilot & Semantic Knowledge Engine

Next.jsTypeScriptAI AgentsSemantic RAGBilingual NLPStreaming UI
< 10ms ResponseAR/EN Intent EngineLive on Homepage

Overview

NeuralEdge Copilot is a live interactive AI engineering showcase embedded directly into salahkhaled.com. Engineered to bridge the gap between static portfolios and conversational discovery, it combines semantic intent matching over structured project & engineering graphs with streaming UI telemetry, computer-vision pipeline simulations, and instant WhatsApp project scoping. Key capabilities include: 1. **Conversational Bilingual Q&A (AR/EN)**: Natural-language query resolution across Arabic and English covering Salah's shipped systems (AURA ERP, CLASH ZONE Realtime, Infinity Bright CRM, Munjiz), tech stack, and availability. 2. **Zero-Latency Edge Execution**: Client-side deterministic semantic scoring paired with streaming token rendering for <10ms response times and 100% uptime. 3. **Architecture & Vision Telemetry**: Multi-mode console showcasing RAG retrieval stages, YOLO/MediaPipe inference metrics, and real Core Web Vitals benchmarks. 4. **Actionable Conversion Routing**: Context-aware deep links routing visitors directly to relevant case studies, scope calculators, or consultation booking.

Key Features

01Free-text bilingual (Arabic & English) question answering trained on verified portfolio projects, stack, and services
02Deterministic semantic intent router matching queries to case studies, pricing estimates, and architecture specs
03Multi-mode engineering console switching seamlessly between AI Copilot, Vision Telemetry, and Web Vitals
04Zero external runtime bloat — preserves 99+ Lighthouse performance and 0ms Total Blocking Time

Built With

Next.js
TypeScript
AI Agents
Semantic RAG
Bilingual NLP
Streaming UI

The Challenge

Founders and technical recruiters visiting a portfolio often have specific questions ('Have you built real-time booking systems?', 'Do you handle Supabase RLS?', 'How fast can we ship an MVP?') and shouldn't have to hunt through multiple pages.

The Approach

Built an embedded bilingual AI Copilot directly in the Hero terminal backed by a structured knowledge index of every shipped project, architecture stack, and delivery SLA — delivering instant, accurate, citation-linked answers.

The Outcome

Visitors can interrogate the portfolio conversationally in Arabic or English with sub-10ms latency and jump straight to the matching case study or scope calculator.

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