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Computer Science — 2025, Undergraduate
This study designed and implemented a Voice-Activated Smart Home Automation System that enables users to control household appliances using spoken commands. Manual and remote-only controls are inconvenient, particularly for persons with mobility challenges. The system converts speech to commands, interprets intent, and controls connected appliance modules, with status visible on a web dashboard. Built with Node.js, Express, and MongoDB, the system was evaluated in a simulated home environment. Results showed reliable command recognition and appliance control. The study recommends expansion to more appliance types and enhancement of voice recognition accuracy.
For reference and learning only. Do not submit this work as your own.

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