Hi, my name is Linh Doan
I'm an AI Developer.

The eKYC project aimed to address the challenges associated with customer identification and verification processes. By leveraging advanced technologies, including document scanning, facial recognition, and data extraction, the system streamlined the verification procedures, reducing processing time and enhancing accuracy. Implemented with a robust system architecture, the eKYC solution integrated various components and third-party identity verification services. The project yielded tangible results, including improved efficiency, compliance with regulatory requirements, and enhanced data security measures.

This project aimed to develop an accurate and real-time system for estimating human poses in images/videos. Through the use of deep learning techniques and computer vision algorithms, the system achieved high accuracy and robustness in detecting key body joints and skeletal structures. This project showcased my expertise in computer vision, deep learning, and algorithm development, emphasizing ability to solve complex problems and deliver practical solutions in the field of pose estimation.

This project highlighted on developing an intelligent system to detect whether individuals were wearing face masks in real-time video streams integrated on Raspberry Pi 3. Leveraging computer vision techniques and deep learning models, the system analyzed facial regions and accurately identified whether a mask was present or absent. By training convolutional neural networks on datasets of masked and unmasked faces, the system achieved high accuracy in real-world scenarios. The project demonstrated the proficiency in computer vision, deep learning, and algorithm development, showcasing my ability to address important challenges in public health and safety through innovative technology solutions.