Project 1

Project Overview

Developed an AI-powered image recognition system capable of accurately identifying and classifying images into predefined categories. Leveraged Python, TensorFlow, and OpenCV to design and train deep learning models, achieving high accuracy through data preprocessing, augmentation, and optimization techniques.

The project involved building a convolutional neural network (CNN) for feature extraction, integrating real-time image processing, and deploying the model for practical use cases such as object detection and classification. This solution demonstrates expertise in AI model development, computer vision, and end-to-end machine learning workflows.