Authors: Jidnyasa Bagul, Pradnya Dhavan, Project Guide Dr. Nandini Dhole
Abstract: In modern institutions and organizations, effective communication of information is essential, yet traditional notice boards often fail to provide timely updates and accessibility. This project presents a Voice-Based Notice Board system that leverages speech recognition and text-to-speech technologies to automate the process of publishing and delivering notices. The system allows authorized users to input notices through voice commands, which are then converted into text using speech-to-text processing. The processed information is stored in a cloud-based database and can be displayed on a digital screen as well as broadcasted through audio output using text-to-speech synthesis. The integration of Internet of Things (IoT) technology ensures real-time updates and remote accessibility. The proposed system is built using Raspberry Pi, along with a microphone module, speaker system, and display unit. Python is used as the primary programming language, incorporating various speech processing libraries for accurate voice recognition and natural audio output. This solution enhances accessibility, reduces manual effort, and ensures faster dissemination of information. It is particularly useful in environments such as educational institutions, offices, hospitals, and public spaces, where quick and efficient communication is crucial. The system also provides scope for future enhancements, including multilingual support and mobile application integration. Overall, the Voice-Based Notice Board offers a smart, efficient, and user-friendly alternative to traditional notice systems by combining automation, cloud computing, and voice interaction technologies.
