This repository showcases a variety of Python projects, ranging from a language translator with audio output to an automated web scraper. Each project demonstrates different aspects of Python programming, including GUI development, API integration, web scraping, natural language processing, deep learning, task automation, and data visualization. These projects serve as practical examples for learning and applying Python to solve real-world problems.

This project implements home automation using a NodeMCU microcontroller and the Blynk app to control devices via a WiFi relay module. The NodeMCU connects to your home WiFi network and interfaces with the Blynk app, allowing you to remotely control household appliances like lights, fans, and other electrical devices from your smartphone. The Blynk app provides a user-friendly interface for monitoring and controlling the connected devices, enhancing convenience and energy efficiency in your home. This setup offers an affordable and straightforward solution for modern smart home automation.

For my final internship project, I developed an Education & Learning Management System (LMS) using Django, Python, and JSON. The LMS includes administrative, buyer, and seller interfaces, all powered by a Django-based database.

The goal of this project is to develop a machine learning model that can automatically identify and categorize bills or receipts generated in a mall. This system will help streamline the billing process, improve customer service, and enhance data analytics for mall management.

Security is a significant challenge in the Internet of Things (IoT), as low-cost microcontrollers (MCUs) often lack essential hardware security features. Arm's new Cortex-M MCUs with TrustZone technology (TrustZone-M) aim to provide robust protection for IoT devices. While Trusted Execution Environments (TEEs) based on TrustZone have secured mobile devices, many vulnerabilities remain. We introduce uTango, the first multi-world TEE for modern IoT devices, designed to address architectural deficiencies in current TrustZone-assisted TEEs. uTango uses TrustZone hardware to create multiple secure execution environments within the normal world. We evaluate uTango on the Arm Musca-B1 platform, demonstrating its benefits. uTango will be open-sourced on GitHub to engage academia and industry in securing future IoT devices.