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.

Study on the Peculiar Customs and Rituals of Fishermen Community with Special Reference to Ramanathapuram District

2026-08-10T12:50:32+00:00

Tamil Nadu is very popular for rich culture, tradition and customs accordingly the land is majorly classified into three divisions pertinent to the specific geographical condition as; Kurunji, Mullai, and Neithal and also two more lands on people’s professions; Maruthamand Palai. These five kinds of land were specified as Thinai in Tamil classical literature. Sea and seashore territories were called Neithal, where fishing and maritime trade were the main professions of the people. Sunthara Pandian Pattinam, Pasipattinam, Thondi, Devipattinam, Alakankulam, Aatraankarai, Pamban, Kunthukal, Dhanushkodi, Kilakarai, Periyapattinam are notable port cities in Ramanathapuram district from the ancient period. The district coastline covers 273 km, has one fourth of the total population of the district. Kadayas, Mutharayas, Paravas, Parvathakula Rajakals and Vanniyas are identified as important caste and tribes of the fisherman community in the district. These people follow a lot of customs and rituals which all resemble to the people who live in other part of the district. However, some customs and rituals are entirely peculiar, thus paper is attempted study all these cultural practices.

A Study on Kisan Credit Card Scheme in India: Performance, Challenges and Prospects

2026-08-12T13:35:34+00:00

The Kisan Credit Card (KCC) Scheme, introduced by the Government of India in 1998, has emerged as one of the most significant institutional credit support mechanisms for Indian farmers. The scheme was designed to provide timely, adequate, and affordable credit to farmers for agricultural operations and allied activities such as dairy farming, fisheries, and animal husbandry. The present study examines the performance, impact, challenges, and future prospects of the KCC scheme in India. The study is based entirely on secondary data collected from reliable sources including the Reserve Bank of India (RBI), National Bank for Agriculture and Rural Development (NABARD), Ministry of Agriculture and Farmers Welfare, Economic Survey of India, and other government publications.
The study analyses major indicators such as the number of KCC accounts, credit disbursement, institutional credit share, repayment performance, and farmer coverage using percentage analysis and mean score analysis. The findings reveal that the KCC scheme has significantly enhanced institutional agricultural credit, reduced dependence on informal moneylenders, improved agricultural productivity, and strengthened financial inclusion in rural areas. During 2020–2025, the scheme recorded considerable growth in credit disbursement and farmer participation, reflecting its increasing importance in rural economic development.
Despite its achievements, the scheme continues to face challenges such as low awareness among farmers, procedural complexities, inadequate credit limits, and limited access in remote rural regions. The study suggests policy measures including digital banking expansion, simplified loan procedures, financial literacy programmes, and flexible repayment mechanisms to improve the effectiveness of the scheme. Overall, the KCC scheme plays a vital role in promoting sustainable agricultural development and improving the socio-economic condition of Indian farmers.