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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 app converts spoken or written text into images using OpenAI's Whisper and DALL-E models. It features a Streamlit interface, records audio with SoundDevice, saves audio files with Wavio, and interacts with OpenAI's API using Requests. Users input text or record speech, which is transcribed and sent to DALL-E to generate and display an image.
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.