Smartphone-Based Tire Tread Scanner App

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Hello, How are you. I am a senior mobile app developer with expertise in Objective C. My experience with ONNX, PyTorch and TensorFlow equips me to build robust model for your application. I have successfully implemented API services in previous projects, which took care of handling large data smoothly and effectively. I suggest the following steps to achieve your job goals: 1. Develop a recognition model train with 8000 tire images and their tread depths. 2. Ensure the model compatibility with ONNX, PyTorch, or TensorFlow. 3. Create an efficient API capable of handling post requests and return the tread depth data in json format. I assure you of clean, maintainable and well-documented code delivery. Regards Dexter.

Proposal for Smartphone-Based Tire Tread Scanner App: We are excited to offer our expertise in developing a model that recognizes tire tread depths using your dataset of 8000 tires. Our team is proficient in training models using ONNX, PyTorch, and TensorFlow, ensuring compatibility with your preferred frameworks. Additionally, we can provide an API that accepts post requests with images and returns tire depths in JSON format. The API can be developed in Python or optimized languages like C, C++, or Rust for enhanced performance. Our deliverables will include all code for training the model, the model itself, and the API implementation if required. We are well-versed in Mobile App Development and Objective C, ensuring a seamless integration with your existing projects. We look forward to the opportunity to collaborate on this innovative project and deliver exceptional results for your Smartphone-Based Tire Tread Scanner App.

I will help you to develop a model for recognizing thread depths in tires. With your dataset of 8000 tires, I can create a robust model compatible with ONNX, PyTorch, or TensorFlow to meet your needs. Additionally, I can provide an API to facilitate integration and interaction with the model. Are there specific formats or requirements for the images and depth measurements? For example, should the depth be recorded in a specific unit or format? What are your expectations for the model’s accuracy and performance? Are there any specific benchmarks or metrics you want to achieve? How do you plan to integrate the model and API into your existing systems? Do you have any preferences for the deployment environment (e.g., cloud, on-premises)? I look forward to discussing the project in more detail. Bid amount is not fixed! Thank You, Muhammad Abrar. Portfolio will be shared via chat