Published Paper Details:

The Personal AI Companion is a portable, voice-based conversational system designed to offer users an interactive and intelligent assistance experience. Built using an ESP32 microcontroller, MEMS microphone, speaker, amplifier, and OpenAI-based APIs, the device can capture speech, convert it into text, generate context-aware responses, and deliver audio replies in real time. This project aims to create a low-cost, compact, and user-friendly AI assistant capable of long-term memory integration, ethical data handling, and personalized interactions without the need for continuous smartphone use. The implemented prototype achieves reliable two-way communication, proximity-based activation, and efficient power management through embedded hardware modules. The system successfully demonstrates real-time conversational capability, offering practical applications in personal guidance, education, accessibility support, and social companionship. The project highlights the potential for future enhancements such as multilingual support, IoT-based smart home control, offline optimization, and advanced emotional or contextual awareness to further improve user experience and system autonomy.