Join our dynamic team at CodeAlpha as a Web Intern and dive into the exciting world of web development. In this internship, you'll have the opportunity to work on real projects, enhance your coding skills

CodeAlpha python internship Efforts summed up

this is calculator task given by codeAlpha as an internee in frontend development

The first task for the Code Alpha 1 Month (1st Sept-30th Sept) internship

This repository holds all tasks for my Web Development internship at CodeAlpha.

Code Alpha Internship Graphic Design

A Responsive Portfolio Website using HTML, CSS, JavaScript and Scrollreveal.js for animation. This project was my internship task at CodeAlpha.

🛒 Sales Prediction with Machine Learning 🚀 | Predict future sales based on advertising data using Python, Pandas, and Scikit-Learn with an R² score of 0.90! 📊💻

This repository contains an AI-powered Python-based tool for translating text between languages using the googletrans library. This project simplifies language translation by leveraging Google Translate's API and supports a wide range of languages.

A basic text-based chatbot that can have conversations with users for CodeAlpha's Python Programming Internship, using the natural language processing library NLTK

Expense tracker website made on HTML, CSS, and JavaScript. This was my intership task at CodeAlpha

CodeAlpha Internship In C++ Domain

🌼 Iris Flower Classification: Developed a machine learning model to classify Iris flowers into 3 species using Python and Scikit-learn. 🚀🌸 #DataScience #MachineLearning

This repository contains an AI-powered object detection and tracking system built using YOLO (You Only Look Once) for real-time detection and tracking of objects in video streams. The project is designed for high-performance and accurate detection, leveraging state-of-the-art deep learning models.

Object-Detector-DLM-WEB is a web-based application that utilizes deep learning models for real-time object detection and tracking using your camera feed. The application is built using HTML, CSS, and JavaScript, and leverages TensorFlow.js with the COCO-SSD model to detect and label objects in the video stream.

this is music player task given by codeAlpha as an internee in frontend development