Blog Management WebSite Task-1 of Bharat Intern

This repository contains the code for a Blog Management System Website, which allows users to create and manage blog posts. The website provides an intuitive interface for users to add text, images, and other elements required for creating engaging blog content.

Temperature Convertor using html, css, javascript

Netflix Home Page Clone using Html & Css

"Universal Translator AI: A versatile Jupyter notebook project capable of translating text between multiple languages, leveraging cutting-edge machine learning techniques to facilitate seamless communication across linguistic barriers."

Netflix Clone

The Fahrenheit to Celsius Converter is a straightforward and user-friendly open-source utility designed to convert temperatures between Fahrenheit (°F) and Celsius (°C). This minimalistic tool provides a seamless experience for users who need quick and accurate conversions between these two commonly used temperature units.

In this task the AI must correct the word or give the word which is nearest to it.

📈 Explore stock market predictions using LSTM in our Stock Price Predictor repo! 🚀 Unlock insights into dynamic market trends as we leverage cutting-edge algorithms to forecast company stock prices. 📊💹 Additionally, dive into the Titanic Classification task, where we've crafted an algorithm predicting survival during the historic voyage. 🚢🔍

This repo is regarding Blog management website which was assigned by Bharat Intern

This repo is regarding Video Chat Website which was assigned by Bharat Intern

This repository contains a LSTM model, Google Stock Price Predictor

📈 Stock Price Prediction with LSTM 🚀 In this project, I had the exciting opportunity to dive into the world of stock market analysis and prediction using the Long Short-Term Memory (LSTM) model.

This repository showcases a simple and interactive clone of the Netflix landing page using HTML and CSS. The landing page adapts beautifully to various screen sizes, ensuring an optimal viewing experience on both desktop and mobile devices.

This task has given by BharatIntern .. In this i have used html ,css, and javascript.

This project provides a foundation for understanding and creating stock price prediction models using LSTM. 📈📊 It showcases the complete workflow from data preprocessing to visualization and offers insights into potential avenues for improving accuracy and real-world deployment. 💡🚀