Babble: A Real-Time Regional Language Messaging Application Using AI-Powered Translation for Secure Communication
Introducing Babble, next-generation mobile messaging that removes all barriers of languages to revolutionize communication; today, as there is large-scale diversity across different regions, it has become very important to communicate across regional languages without any hindrance. The real-time translation for text messages and transcripts for voice and video calls cures this growing problem. The application will be targeted at the younger population that values modern and user friendly interfaces; it is an intuitive design that will attract the target audience. Babble is built using Flutter, a power-packed framework that can support cross-platform compatibility. This would, therefore, mean that the app will run without any issues on Android and iOS. While Babble sports very similar functionalities to other very popular messaging applications, such as WhatsApp, instant messaging, voice and video calling features, what really makes it different is the innovative real-time translation feature. It is through this that users can relate in a manner that transcends languages without any form of delay and thus have a totally inclusive messaging experience. The Babble development process follows Agile and Scrum methodologies in such a way that there are iterative improvements and a close collaboration with the development team. Thus, the project is very flexible and sensitive to market demands through continuous feedback and rapid adaptation to user needs. Seamless API integration has supported the furtherance of the app, improving its performance and reliability by thus being a solid ground for any form of daily communication.
Authors
- Sajal Gupta (ORCID: https://orcid.org/0000-0001-6487-9681)
- Amit Agarwal
- Deepti Barhate
Publication Details
- Journal
- International Journal of Computer Science and Engineering
- Published
- 2024-10-31
- DOI
- https://doi.org/10.14445/23488387/ijcse-v11i10p103
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00