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This work is licensed under a Creative Commons Attribution 4.0 International License.
“AIVA: An AI-Powered Multi-Functional Virtual Assistant Mobile Application Using Flutter”
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Abstract: In the past several years, the use of virtual assistants has increased tremendously as a means of enhancing the productivity of users and simplifying their daily activities. However, the majority of current virtual assistance systems typically have limited features, forcing users to use separate applications for many different uses. A common platform to combine multiple functionalities is the mobile application AIVA (Artificial Intelligent Virtual Assistant), which is a multipurpose, artificial intelligence-powered, mobile application that has been developed with the Flutter application framework. AIVA combines an artificial intelligence-based chat interface, an optical character recognition (OCR) feature, a study planner, a reminder system, an advanced scientific calculator, and other related functionalities into a single app. AIVA uses artificial intelligence technologies such as Natural Language Processing (NLP) and Transformer-based AI models (Gemini API) to understand user input and generate intelligent responses. The application will also incorporate OCR to recognize printed text in images and will store and manage data in a format to facilitate the reminders and scheduling functions. Ultimately, this application is designed to provide a unified, user-friendly, and efficient means of minimizing or eliminating the need for multiple applications. The AIVA application has been developed using a modular approach to ensure that it is scalable and efficient for future growth. Final Results: The AIVA application has been demonstrated to successfully integrate a variety of features into one application, providing an improved level of usability, productivity, and experience for the end user.
Keywords: Artificial Intelligence (AI), Virtual Assistant, Natural Language Processing (NLP), Optical Character Recognition (OCR), Flutter Framework, Mobile Application, Task Management, Reminder System, Chatbot, Transformer Model.
How to Cite:
[1] Komal Gulve, Kirti Nazirkar, Sanika Veer, Mohini Narwade, Mr. D.S. Jaybhay, ““AIVA: An AI-Powered Multi-Functional Virtual Assistant Mobile Application Using Flutter”,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE/2026.154256
This work is licensed under a Creative Commons Attribution 4.0 International License.