I want to build a production-ready image-recognition solution and I need an AI specialist to make it happen. The broad goal is clear—accurate, real-time image recognition—but I’m still weighing which specific task (object, facial, or text detection) will bring the most value to my workflow. Your first job will be to help me evaluate these use-cases and settle on the one that fits my data, timeline, and performance targets. Once we lock the scope, I’ll provide sample images plus any domain knowledge you need. You’ll handle the end-to-end pipeline: dataset preparation, model architecture selection (CNN, transformer, or whatever you judge best), training/tuning, and deployment in a lightweight API or on-device model. I’m comfortable with common stacks like Python, TensorFlow, PyTorch, and OpenCV, so feel free to propose the combination that will deliver both speed and accuracy. Deliverables • A working, tested model meeting agreed accuracy/F1 benchmarks • Inference script or REST/GraphQL API for easy integration • Brief setup guide and commented code I’m ready to move quickly and can review prototypes as soon as you have them. Let’s discuss your approach, expected milestones, and any data requirements so we can kick this off right away.