Contact person: AI Bird Detection Website

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Location: Lissone, Italy

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a small-scale web application that can automatically detect birds in still images or live video streams and highlight them on screen. The goal is to support wildlife monitoring, so accuracy and a clear, intuitive interface matter more to me than heavy-weight design features.

Here is what I expect:

• A deep-learning model (YOLOv8, Faster R-CNN, or a comparable PyTorch / TensorFlow solution) trained or fine-tuned specifically for common bird species.
• A lightweight front end where I can upload an image or point to an RTSP / webcam feed and instantly see bounding boxes with confidence scores.
• Server-side code, preferably in Python, that wraps the model behind a simple REST or WebSocket endpoint.
• Deployment instructions so I can reproduce the setup on my own Linux VPS or a Docker container.

The project is complete once the site correctly identifies birds in a short field test video and documents the steps I need to retrain the model with additional footage later on." (client-provided description)