Abstract
The increasing demand for hands-free interaction in modern workplaces has led to the development of Voice-Based User Interfaces (VUIs) that enhance accessibility, efficiency and automation. This research presents the Voice-Based User Interface for Hands-Free Data Entry and Automation at Workplaces. The system enables real-time speech-to-text transcription, allowing users to interact with workplace applications without manual input, making it intuitive, user-friendly and capable of enhancing efficiency and convenience in various workplace scenarios. Through extensive testing and evaluation, the study demonstrates the practicality and benefits of the Voice-Based User Interface for hands-free data entry and automation. Methodology Overview:•Utilized WIT.AI API for speech-to-text transcription.•Implemented chunking, caching, and concurrency control to optimize processing.•Evaluated performance using Word Error Rate (WER), Levenshtein Distance and Cosine Similarity on real world datasets.The system proves to be upto 88.8% accurate in recognizing spoken commands and efficiently converting them into text with best performance achieved when the audio was divided into 7 optimal chunks. Cosine Similarity for these chunks is more accurate than that of sizeable file and approximately 2. Moreover, the integration of real-time updates across different domains (educational, legal, medical) and data synchronization enhances productivity and usability. In conclusion, the Voice-Based User Interface offers a viable solution for hands-free data entry and automation at workplaces.