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Intelligent personal assistants have become pivotal in bridging the human-computer interaction gap, particularly for accessibility and healthcare support [1]. This work introduces Disabilities Assist, a Windows-based voice assistant application designed for visually impaired individuals. The system integrates multi-functional capabilities: real-time face authentication, natural voice interaction, a symptom checker, screen-to- speech conversion (OCR + Image Captioning), and intelligent web/app navigation [4]. Leveraging technologies like Python Flask, Tkinter GUI, OpenCV, Speech Recognition, Pyttsx3, and Google APIs, Disabilities Assist provides secure access via face recognition, multi-modal interaction, and is designed to be extensible and open-source, promoting the Do-It-Yourself (DIY) assistive technology paradigm [5], [6]. This paper details the system's architecture, methodology, and expected outcomes in creating an accessible, intelligent, and interactive platform.