I’m putting together a straightforward online page where visitors can upload a photo and immediately receive automated face-based feedback powered by AI image recognition. The core requirement is reliable detection of faces in any uploaded image; once a face is located, I’d like the response to display bounding boxes or similar visual confirmation so users clearly see what the model found. Beyond that essential functionality, I’m open to expanding into deeper facial insights—age, emotion, gender, or related analytics—if you have an off-the-shelf model or a custom pipeline that can slot in cleanly. My priority, however, is to ship a polished, latency-friendly MVP that runs either server-side (Python + OpenCV, TensorFlow, or similar) or directly in the browser via TensorFlow.js or MediaPipe. I’m comfortable hosting on typical cloud stacks, so just note any special environment requirements. Deliverables: • A responsive web page (HTML/CSS/JS or framework of your choice) with an intuitive image-upload interface. • Integrated face-detection model returning on-screen visual markers. • Clear install/run instructions and commented source so I can maintain and iterate after delivery. If you can demo a quick prototype or point me to comparable work, that will help confirm we’re aligned on quality and speed. Let’s keep communication tight and get this shipped.