Dog Breed Detector ML App

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  Select dog

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  Dog Information from Gemini AI

Starting a journey that combines the domains of machine learning (ML) and developing mobile applications has brought you to the creative use of ML models on the Flutter platform. After studying machine learning in depth for your advanced degree, you decided to create a pre-trained model that could recognize different kinds of dogs. For this project, a model had to be painstakingly trained and tested. Once the model's accuracy was high enough, it was transformed into TensorFlow Lite format. TensorFlow Lite, renowned for its effectiveness on mobile platforms, makes it easier to implement machine learning models in applications with less latency and resource usage. By using the TensorFlow Lite library in Flutter, you were able to make your application interactive and capable of identifying dog breeds from photographs. This demonstrated how ML can be used to improve mobile experiences in real-world scenarios.

Meanwhile, you investigated how to include a Google-powered API—tentatively called "Gemini"—into your program to enhance it with comprehensive breed data. This API acts as a link to an extensive database of dog breed information, providing users with more than just the breed name when it comes to useful information like traits, health concerns, and maintenance tips. This all-encompassing method of developing mobile apps highlights the benefits of combining machine learning with mobile platforms and the revolutionary power of ML to enable meaningful, context-rich interactions. Additionally, your scholarly endeavors, which culminated in a thesis on the application of ML to the detection of skin cancer, set the stage for upcoming initiatives. Your goal is to use these technologies to create an app for early skin cancer detection, taking inspiration from your successful integration of ML with Flutter for dog breed detection. This next project not only shows how your machine learning skills can be put to use in the real world, but it also shows how technology can advance healthcare by providing opportunities for early detection and awareness in important areas like skin health.

Built With

• ai
• api
• flutter
• gimmni
• ml