Department of Computer Engineering, Jaywant College of Engineering and Polytechnic, K.M. Gad
Abstract
This project presents an **AI Personal Assistant** that functions entirely offline, ensuring privacy and local control. Built in Python using **CustomTkinter** for GUI, it processes **voice and text commands**, features **face recognition with OpenCV**, and communicates with IoT devices through **ESP32/ESP8266 microcontrollers**. Integration of the **Ollama 3.2** model enables intelligent natural responses without internet dependency. Additional capabilities include WhatsApp automation, calendar event scheduling, and desktop task execution — all secured, modular, and optimized for low-connectivity environments.
Keywords
AI Personal Assistant, Offline AI, Local AI Model, Voice Recognition, Text-to-Speech, Face Recognition, Python Automation, CustomTkinter,
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