
AI-powered Flask web application with YOLOv8 for real-time object detection from webcam streams and video files. Download processed videos with bounding boxes.
Flask | Python | OpenCV | Ultralytics YOLOv8 | HTML5 | CSS3 | JavaScript | MJPEG Streaming | Video.js
Our Flask-powered AI application leverages state-of-the-art YOLOv8 technology to deliver lightning-fast object detection capabilities. Perfect for developers, researchers, and businesses needing intelligent video analysis solutions.
Built with Python's Flask framework and Ultralytics YOLOv8, this application delivers production-grade performance with minimal system requirements. The MJPEG streaming architecture ensures compatibility across all modern browsers.
Python 3.8+ environment with OpenCV and Flask dependencies. Recommended minimum hardware: 4GB RAM, 2GHz CPU. Supports GPU acceleration through CUDA-enabled OpenCV builds.
Add any of these professional upgrades to save time and impress your evaluators.
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
Fully customized to match your college format, guidelines, and submission standards.
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.