• Rela Lumbini Manda
• Dr.G. Prabhakar Raju
• K. Sai Sambhu Prasad
• P.Srihith

Machine Learning is being used widely in projects today. It requires knowledge of Machine Learning to create models, for application developers who want to use Machine Learning in the project but don’t know how to create a model. Flutter is Google's portable user interface (UI) framework for building modern, native, and reactive applications for iOS and Android. In Flutter, certain developments have been done by Google to help developers create the application they want. Although there is a package google_ml_kit however it is only available for android yet. In our project, we use Machine Learning to train and run Deep Learning models on the edge devices such as Smartphones, IoT Devices, and devices without an OS like Microcontroller units (MCU). It's the future of AI inference. In this project, our team will cover two aspects. Firstly, build on-device machine learning models using Tensorflow and Google ML Kit, and secondly, construct and run a flutter app that uses this model on Android Devices.

Machine Learning, Flutter, Deep Learning, Smartphones, Mobile Application, TensorFlow, Google_ML_Kit.

"Object Detection for Visually Impaired using Machine Learning and Flutter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.h535-h539, March-2023, Available :http://www.jetir.org/papers/JETIR2303772.pdf

"Object Detection for Visually Impaired using Machine Learning and Flutter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pph535-h539, March-2023, Available at : http://www.jetir.org/papers/JETIR2303772.pdf