Currency Detection

@ManojChauhan111

Dear Sir, I hope this message finds you well. I am a Flutter Developer with 8+ years of experience building high-performance mobile apps, specializing in clean architecture, state management, and scalable UI/UX. I specialize in developing Flutter applications and have strong domain knowledge. I can complete your project within the agreed timeframe and budget. Having worked on similar projects, I am confident I can exceed your expectations. Please let me know if you would like to discuss this further in chat. Best regards.

@tarang027

Hi Sir/Ma'am, I have read your project carefully and I understand exactly what you need. I can build the banknote recognition app with real-time camera detection that works reliably under different lighting and angles. I have experience with Flutter and TensorFlow Lite, so I can also implement the dataset mode where you can add, label, and test images directly inside the app. For the model part, I will train and compare three different models using different datasets, evaluate their performance, and select the most accurate one. I will also provide a clear pipeline so you can add more currencies later. Once you share the files, I will follow your comments and complete everything within the timeline. I am ready to start. Thank you, Tarang P.

@MQamar123

With my broad background in software development and expertise in several languages including Python, I’ll be the perfect talent to develop this currency detection app for you. For over 7 years, I’ve been building robust applications using various frameworks such as React Native, Flutter and more, which are essential in meeting your real-time camera detection requirements from varied angles and lighting. My experience with diverse datasets combined with advanced model training skills makes me confident about creating and selecting the best models for maximum accuracy. Lastly, but certainly not least, your strict deadline and budget align well with my work ethics. I'm committed to delivering high-quality work within deadline constraints and maximizing value on every project undertaken. Choosing me for this task guarantees efficiency, precise documentation of steps for adding new currencies, and above all else- a successful implementation of your currency detection project. Let's get the ball rolling; contact me now!

@arslanshahid386

Hi there, I see that you need an app that can recognize banknotes using the phone's camera, specifically focusing on Pakistani Rupee notes. I’m excited about the challenge of implementing real-time detection that works well under different lighting conditions and angles. With my 4+ years of experience in mobile app development and machine learning, I’d approach this by building a robust model in Flutter or React Native, allowing for easy updates and dataset management. I can also incorporate a “dataset mode” where you can easily add new note images and test the model’s accuracy before finalizing updates. I’ll ensure all required deliverables, including source code and a documented training process for new currencies, are provided. Just to clarify, what specific features or functionalities would you like to see in the dataset mode? Best regards, Arslan Shahid

@vasylklymiu

Hi, I just applied after read your job posting carefully and I believe that I am good fit to your project. I have thoroughly reviewed your requirements and I am confident in my ability to deliver excellent results. I'm a serious bidder. I will satisfy you with my high skills! I am an expert which have 8+ years of experience on Python, Mobile App Development, Android, Machine Learning (ML), Flutter, Deep Learning, Image Recognition, Convolutional Neural Network I will work on your project hard with full time. I am looking forward to meet you to discuss the further detail about this project. Looking forward to hearing from you. Thank You

@utsav007pandya

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@tejbirbhatia

Hi there! I have carefully reviewed your project description for building a currency detection app with real-time camera detection for Pakistani Rupee notes. I understand the importance of reliable detection in varied lighting conditions and angles, as well as the need for a dataset mode to verify model accuracy before updates. In a similar project, I developed a currency recognition app for a client which required accurate detection and labeling of multiple currencies. This experience has equipped me with the skills needed to meet your project requirements effectively. Could you please provide more details on the specific types of models and datasets you prefer for this project? Additionally, how important is it for the app to have a user-friendly interface for dataset mode? Looking forward to the opportunity to collaborate on this project. Thanks, Tejbir Bhatia

@shuvadeep003

Hi there, This is an interesting project, and I understand you need a real-time banknote recognition app with proper experimentation across multiple models and datasets. I can build the app using Flutter (for flexibility) and integrate on-device ML using TensorFlow Lite for fast, offline detection. Here’s how I’ll approach it: • Develop camera-based real-time detection optimized for lighting and angle variations • Create a dataset mode inside the app to capture, label, and test new banknote images • Train and compare 3 different models (e.g., CNN, MobileNet, EfficientNet-lite) on 3 dataset variations • Evaluate accuracy, latency, and robustness, then finalize the best-performing model • Ensure initial dataset includes Pakistani Rupee notes with proper augmentation Deliverables: • Complete app source code + Android build • All datasets and trained models • Training pipeline with clear steps to add new currencies • Updated methodology as per your provided files and comments I’ve worked with computer vision apps and understand how to balance accuracy with real-time performance on mobile devices. Please share the 3 files so I can review and align the implementation exactly with your methodology. Regards, Shuvadeep

@olehz9

Hi, I hope you’re doing well, Respected Client. I’ve read your project description carefully and fully understand that you need a real-time currency detection app that works reliably under different lighting and angles, along with a dataset mode to add, label, and test images before updating the model. My approach is to build a smooth mobile app using Flutter and implement fast on-device detection with an optimized TensorFlow Lite model. I will start with a lightweight CNN for real-time performance, then create three dataset variations (original, augmented, and preprocessed) and train three different models. After evaluating accuracy and performance, I will select and integrate the best model into the app. The app will include real-time camera detection, a built-in dataset mode to capture and label new currency images, and a quick testing interface to verify model accuracy before updates. Pakistani Rupee notes will be included initially, and I will structure the training pipeline so adding new currencies later is simple and well-documented. You will receive complete source code, all datasets and trained models, and clear documentation for extending the system. I work independently, focus on clean and reliable solutions, and I’m ready to start immediately while keeping you updated throughout the project. Looking forward to working with you.