elevate-labs

SQL Task 4 for Elevate Labs Internship: Demonstrates intermediate querying techniques including data sorting, limiting results, and pagination using ORDER BY, LIMIT, and OFFSET in MySQL.

SQL Task 5 for Elevate Labs Internship: Demonstrates intermediate querying techniques including aggregate functions, grouping data, and filtering grouped results using GROUP BY and HAVING in MySQL.

Elevate Labs SQL Internship Task 2: A practical demonstration of relational database design, focusing on appropriate SQL data types, data integrity constraints (PRIMARY KEY, NOT NULL, UNIQUE, CHECK), and structural table modifications using ALTER TABLE.

SQL Task 3 for Elevate Labs Internship, demonstrating intermediate SQL queries, data filtering, logical operators, and pattern matching within a student database.

📊 SQL Task 1 of the Elevate Labs Internship showcasing database creation, schema design, table management, data insertion, and essential SQL querying techniques using MySQL to build a student management database.

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This project is a static personal portfolio website created to showcase web development learning and projects.

Data cleaning and preprocessing on the Titanic dataset for Elevate Labs AI/ML Internship Task 1.

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This project is a responsive To-Do List web application built using HTML, CSS, and JavaScript as part of the Elevate Labs Internship.

This project involves building a contact form with client-side validation as part of Task 6 of the Elevate Labs Internship. It demonstrates fundamental skills in HTML form creation, CSS styling, JavaScript validation, and user feedback.

Responsive landing page built with HTML & CSS as part of Elevate Labs Internship – Task 1.

This project is a responsive and modern blog landing page built using Bootstrap 5. It features a clean design with multiple blog cards, pagination, and a social media footer.

This project is a secure, scalable real-time chat platform built using Node.js, Express, Socket.IO, MongoDB, and Tailwind CSS. It supports live messaging in multiple rooms, private chats, typing indicators, and user presence.

This project demonstrates the basics of CRUD operations, Express routing, HTTP methods, and JSON handling using in-memory storage (no database).

Binary Classification using Logistic Regression on the Breast Cancer Wisconsin Dataset with Scikit-learn.

This project demonstrates the usage of JavaScript Fetch API to retrieve and display user data from a public API.

Java internship projects completed during the Elevate Labs Java Developer Internship.

A responsive landing page designed with mobile-first principles, enhanced accessibility, and modern web best practices.

🎬 AI-Powered Movie Recommendation System Get personalized movie suggestions using NLP & Cosine Similarity — powered by movie overviews! 🍿🤖 Built with 🐍 Python, 📊 Pandas, 🧠 Scikit-learn, and 💬 TF-IDF.