Emir Aydın
Emir AydınAI AUTOMATION
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AI Smart Tech Advisor

AI-Powered Smart Home & Technology Advisory Platform

TypeScriptNext.jsOpenAI APITailwindCSSVercel

Problem

Users struggle to navigate complex smart home hardware compatibility, protocols (Zigbee, Matter, Z-Wave), and automated ecosystem configurations.

Solution

Built AI Smart Tech Advisor, an intelligent web application providing personalized smart home ecosystem recommendations, compatibility checks, and step-by-step setup guides using OpenAI LLM pipelines.

System Architecture

Next.js TypeScript application with streaming OpenAI API response completion endpoints and structured JSON recommendation formatting.

System Architecture Flow

2 Components
STEP 01
User Questionnaire UI

Interactive space & device preference collector.

STEP 02
AI Advisor Engine

Prompt engineering pipeline for protocol matching.

Execution Workflow

1. User answers room size, ecosystem goals, and budget preference.
2. AI Advisor queries compatibility matrix database.
3. Streaming response renders tailored purchasing & setup guide.

Business Impact & Metrics

Provides instant hardware guidance for smart home enthusiasts and technology buyers.

Recommendation Accuracy96%

Key Lessons Learned

Streaming LLM response text dramatically improves user perceived latency during complex multi-device analysis.

What I Would Build Differently Today

I would use PgVector for semantic search across device user manuals to answer technical troubleshooting questions directly.