NLP Based Voice Assistant Usage on Consumer Shopping

Abstract

In the digital age, convenience and accessibility have become paramount considerations for users at a personal level, particularly for those with diverse needs. The objective of this study is to introduce a Voice-Based Food Ordering Application designed to revolutionize the food ordering experience for tech-savvy individuals, with a special focus on differently abled and visually impaired customers. Leveraging cutting-edge technologies, such as Natural Language Processing (NLP), Speech Recognition, Google APIs, Text-to-Speech (TTS), and speech-to-text (STT), the application enables users to seamlessly navigate menu options, place orders, and confirm transactions using simple voice commands. The intuitive, user-friendly interface ensures that the app is accessible to all users, promoting independence and ease of use. In addition, the application prioritizes user security by implementing robust data protection measures and safeguarding personal information throughout the ordering process. By offering a straightforward and modern approach to food ordering, this app not only enhances convenience, but also bridges the gap between technology and inclusivity, empowering users to interact with digital systems effortlessly. This innovation represents a significant step forward in making everyday tasks more accessible and efficient for everyone, regardless of their physical ability.