AI-Assisted Personal Wardrobe Management: A Human-Centric Approach to Intelligent Clothing Organization and Style Recommendation

This paper presents WearIn, a human-AI collaborative wardrobe management system integrating NFC technology with fine-tuned artificial intelligence. The system combines ESP8266-based IoT sensors for real-time clothing tracking with a customized Gemini LLM for personalized outfit recommendations. Multi-modal interaction includes NFC scanning, OLED feedback, and conversational AI interface. Fine-tuning achieved significant performance improvements: 80.1% accuracy in reasoning tasks (vs. 69.7% baseline) and 70.8% in real-time queries (vs. 39.2% without optimization). Comprehensive evaluation through nine systematic test cases validated system reliability, cloud synchronization, and human-AI interaction effectiveness. The AI provides contextual outfit suggestions exclusively from user's registered clothing inventory, promoting sustainable fashion practices. **This system has immediate applications in smart homes, retail inventory management, and sustainable fashion initiatives, demonstrating how intelligent automation enhances daily decision-making while preserving user autonomy.