Journal of Advanced Research and Innovation

Learner-Centered English Language Teaching Using L1 Cultural Context

2026-05-16T09:36:15+00:00

The focus of this work is on different approaches used in second language (L2) learning and teaching. The study aims to understand how learners think, learn, and respond while acquiring a second language. It also explores how learners’ native language and cultural background can support English language learning.

AI-Driven Smart Home Automation: Enhancing Energy Efficiency, Security, and User Comfort

2026-07-03T13:22:15+00:00

This review paper presents the development of a smart home automation system designed to improve energy management, security, and user convenience. The system is built using a Raspberry Pi and Python, allowing users to remotely monitor and control household appliances, such as lights, fans, air conditioners, and TVs, through any web browser on the local network without the need for additional software.
The system works in two main stages. The first stage uses IoT devices and sensors—including temperature and humidity sensors (DHT11), gas sensors (MQ2), and ultrasonic distance sensors (HC-SR04)—to monitor the home environment and control appliances in real time. Data is transmitted via the Zigbee protocol to Arduino and Raspberry Pi microcontrollers, while relays safely manage high-voltage devices. A web and mobile interface allows users to easily interact with the system.
The second stage uses a linear regression model to analyze historical data, enabling the system to anticipate user behavior and automatically optimize energy use. Additionally, the system incorporates security features, including video monitoring, face detection, and recognition, with alerts sent securely via email and mobile notifications. Local processing and encrypted cloud storage protect user privacy.
This approach offers a practical, scalable, and cost-effective solution for smart home management, providing energy efficiency, personalized automation, and enhanced security, with potential for future improvements such as voice control and broader device integration.

Touchless Interaction System for Diffrently Abled Users Using Gesture Recognition

2026-07-03T13:29:16+00:00

Human Computer Interaction (HCI) plays a vital role in creation of inclusive technologies for differently abled users specially speech and hearing impairment. These users are often physiologically disabled when using traditional interface such as keyboard and voice recognition devices. The best ever solution could be provided by AI based gesture recognition which makes it possible to communicate by hand gesture in a natural and intuitive way. This works presents an intelligent gesture recognition system including hand gestures which are integrated into meaningful texts or audio output using computer vision and machine learning approaches. This technology increases the independence of the users and helps in the improvement of the efficiency of communication. This technology enables the real time contact with the digital devices.
The issues encountered regarding gesture variable, environment factors and ethical issues such as data security and privacy are also taken into consideration. The results generated by AI - enabled gesture recognition using HCI are user friendly especially for differently abled people.