I completed an end-to-end Computer Vision project, showcasing my proficiency in deep learning, machine learning, and FLASK API development. In this project, I executed tasks from dataset preprocessing to implementing classification with neural networks and conventional techniques, evaluated by AUC-ROC metrics. A notable feature of my work is a FLASK API that classifies and scores images, demonstrating my capability in both back-end and front-end development. This project not only highlights my technical skills but also my ability to transform complex concepts into practical, user-centric applications, positioning me well for challenging roles in technology and innovation.

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