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This project is a Streamlit application designed to perform image classification using two powerful machine learning models: MobileNetV2 and a custom CIFAR-10 model. The application allows users to upload images and receive predictions along with confidence scores.
Codesoft Internship Projects offer hands-on experience in software development, fostering skills in coding, problem-solving, and collaboration. Participants engage in real-world projects, enhancing their knowledge and preparing them for future opportunities in the tech industry.
This repository contains web development projects completed during my internship at OASIS INFOBYTE. It includes a cryptocurrency landing page, a personal portfolio, and a temperature converter web app, all built using HTML, CSS, and JavaScript.