I will build, deploy, and integrate custom computer vision AI solutions

About this Gig

• Object Detection (YOLO, Faster R-CNN) • Image Classification • Image Segmentation • Face Detection & Recognition • Face Anti-Spoofing / Liveness Detection • OCR & Document Intelligence • Product & Fashion Image Analysis • Image Similarity Search • Feature Extraction • Pose Estimation • Custom Deep Learning Models • Real-Time Video Analytics Deployment & Integration: • FastAPI REST APIs • Docker containerization • AWS deployment • Cloud and on-premise deployment • Model optimization for production • API integration with existing applications • CI/CD support • Monitoring and post-deployment support Technologies: • Python • OpenCV • TensorFlow • PyTorch • YOLO • Detectron2 • MediaPipe • FastAPI • Docker • AWS • NumPy • Scikit-learn I focus on building scalable, reliable, and production-ready AI solutions with clean code, optimized performance, and seamless deployment.

Requirements

• Project requirements and business goals • Sample images or videos • Dataset (if available) • Expected output or model behavior • Accuracy and performance requirements • Deployment preference (Cloud, AWS, Docker, On-Premise, REST API) • Existing application or backend (if integration is required) • Timeline and any additional requirements Once I understand your requirements, I'll recommend the best architecture and build a complete end-to-end computer vision solution, including deployment and integration.

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