Dhruv specializes in AI/ML development, computer vision applications, full-stack web development, and cloud infrastructure management. This includes facial recognition systems, emotion detection, serverless applications, and OpenStack virtualization platforms.

You can reach out through the contact form on the main website, send an email to dhruv@dhruv.cyou, or connect on LinkedIn. Dhruv is always interested in innovative projects and collaboration opportunities.

Primary technologies include Python, OpenCV, MediaPipe, TensorFlow, React, Node.js, Docker, AWS, OpenStack, and Cloudflare Workers/Pages. Dhruv is constantly learning new technologies and adapting to project requirements.

The AI facial recognition system achieves 92% accuracy in emotion detection and supports real-time processing at 30 FPS. It can simultaneously analyze up to 4 faces and works effectively in various lighting conditions.

The system combines thermal imaging with LiDAR technology for 3D environmental mapping. It's specifically designed for USAR (Urban Search and Rescue) operations and uses advanced sensor fusion algorithms for improved accuracy in detecting human signatures.

Many projects are open-source and available on GitHub. Some proprietary or client projects may have restricted access. Check the individual project pages for GitHub links and licensing information.

Cloudflare Pages is used for hosting static websites and frontend applications, while Workers provide serverless computing capabilities for backend APIs and dynamic functionality. They work together to create full-stack applications.

For optimal performance: Python 3.8+, 8GB+ RAM, dedicated GPU recommended for ML training, webcam for real-time applications. The facial recognition system works on both Windows and Linux environments.

Follow the comprehensive tutorial in the help section. The setup includes multi-node deployment with Nova, Neutron, Cinder, and other essential services. Docker integration and security configurations are also covered.

Basic understanding of Python and computer vision concepts is helpful. Detailed documentation and tutorials are provided to guide users through setup and usage. Advanced features may require more ML knowledge.

Active projects receive regular updates with bug fixes and feature improvements. Major updates are announced on the blog and GitHub repositories. Security updates are prioritized and released promptly.

Report issues through GitHub for open-source projects, or use the contact form for direct support. Include detailed error messages, system information, and steps to reproduce the issue for faster resolution.

Licensing varies by project. Open-source projects typically use MIT or Apache licenses allowing commercial use. Check individual project licenses on GitHub. Contact Dhruv for custom licensing arrangements if needed.