LEVERAGING AI WITH FLUTTER: BUILDING SMART APPLICATIONS
DOI:
https://doi.org/10.37547/Keywords:
Flutter, artificial intelligence, machine learning,Watson UI customization, cross-platform development, performance optimization, responsive design, animation, mobile SDK, neural networks, app development.Abstract
This article explores the integration of artificial intelligence (AI) in Flutter application development, highlighting its transformative impact on modern app creation. It delves into key use cases such as image recognition, voice recognition, natural language processing (NLP), predictive analytics, and recommendation systems, demonstrating how AI-powered features enhance functionality and user engagement.
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References
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Flutter. (2023). Flutter Documentation. Retrieved from https://flutter.dev/docs
Sharma, S., & Yadav, S. (2022). "AI-powered Flutter Apps: Integrating TensorFlow Lite for Efficient Machine Learning." Journal of Mobile App Development, 45(2), 123-135.
Singh, R., & Gupta, M. (2021). "Leveraging AI in Mobile App Development: A Case Study with Flutter." International Journal of Artificial Intelligence and Mobile Computing, 30(1), 50-64.
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Zhang, Y., & Liu, J. (2022). "AI in Mobile Applications: A Comprehensive Overview of Flutter Integrations." Journal of AI Applications, 12(4), 202-215.
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