You are required to build an app that can recognise banknotes through the phone’s camera on Android (or any easiest one). I’m fine with Flutter, React Native or a pure native split Priorities • Real-time camera detection that works reliably in varied lighting and angles. • A companion “dataset mode” where I can feed new note images, label them, and run quick tests inside the app to verify model accuracy before pushing an update. • Initial coverage must include Pakistani Rupee notes. Model You are required to use different types (3 models) of models with different types (3 types) of datasets after building the application. Finally, you should select the best model that provides the best and maximum accuracy Deliverables 1. Complete source code and project files 2. All models and all datasets 2. Trained model (or training pipeline) with documented steps to add new currencies. Note: I will provide three files, file 1: comments that you must follow and fix/build the project based on the file comments. File 2: that is main project where you will find all details regarding the app. File 3: This is methodology, and you will follow and update based on comments from file 1. Deadline: 2 days Budget is $15nzd