O. Okosun

The increasing adoption of smart home technologies and the demand for robust home security systems have driven the need for innovative solutions that integrate various components seamlessly. This project presents a comprehensive smart home security solution that integrates IoT technology with remote camera control capabilities, leveraging the cost-effective ESP32-
CAM microcontroller. The system comprises two key components: a responsive web application and a Telegram bot interface, designed to provide homeowners with real-time surveillance and control functionality. The ESP32-CAM module, equipped with Wi-Fi connectivity and an integrated camera sensor, is the core hardware, capturing high-quality images and video streams
that can be accessed remotely through either interface. The web application offers an intuitive dashboard for monitoring live video feeds, viewing captured images, controlling camera parameters, and receiving motion-triggered alerts. Complementing this, the Telegram bot provides similar functionality through a conversational interface, allowing users to request images, view live streams, and receive instant notifications on their mobile devices. This dual-interface approach ensures accessibility across various devices and user preferences. The implementation utilizes a decentralized architecture where the ESP32-CAM operates as both a camera and a lightweight server, communicating directly with client applications without relying on cloud infrastructure. This edge computing approach prioritizes data privacy and reduces dependency on external services. The Telegram bot integration leverages the Telegram API for secure notifications while maintaining the local processing paradigm. Experimental
results demonstrate the system's effectiveness in providing reliable surveillance with minimal latency while maintaining reasonable power consumption for extended operation. This solution offers an affordable yet robust alternative to commercial smart security systems, making home security technology more accessible to a broader range of users

This work is aimed at designing and implementing a Progressive Web App (PWA) based student information management system to improve the security features of the system The methodology used in carrying out the security feature includes, the Two-Factor authentication and hashing method. The major technologies used in the implementation of the system are React.js in designing the frontend for simplicity and modularity, Node.js for the backend to support multiple synchronous activities and MongoDB for the database. The system was designed to provide a more secured method in ensuring the user’s data is safe
from third-party intrusion. The results of the study showed that the PWA based student information management system
was better secured in terms of accessing and retrieving data from the system, without fear of an intruder. The system provided significant improvements in the security features which enabled effective and efficient use of the system.

The purpose of this school project is to analyse an e-commerce dataset in order to gain insights into customer behaviour, product trend, private strategies and supply chain management. The project will involve collecting and cleaning the data, conducting exploratory data and using statistical and data analytical techniques to uncover pattern and trend. The project will also involve developing visualization and presenting findings to stake holders. By completing this project, student will gain valuable experience in data analysis and develop skills that are highly sought after in today’s job market. Additionally, the insight gained from this project may have practical application for business Looking to optimize their ecommerce operation and improve the customer experience.