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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 03 | Mar 2025

p-ISSN: 2395-0072

www.irjet.net

The Laundry Application Isha Sonawane1, Tanvi Satam2, Pooja Raut3, Prisha Gawad4 and Shweta Taral5 1,2,3,4 Student, Computer Engineering Department, Viva College of Diploma Engineering and Technology, Virar

(East), Chandansar Road, Virar, Palghar District-401209, Maharashtra, India.

5Lecturer, Computer Engineering Department, Viva College of Diploma Engineering and Technology, Virar (East),

Chandansar Road, Virar, Palghar District-401209, Maharashtra, India. ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - The demand for easy and effective laundry

customers and their local laundry partners together, keeping the whole thing simple and problem-free.

services has driven the creation of mobile apps that make laundry activities simpler for consumers. This paper introduces the Laundry Application, a mobile application built on the Android platform using Android Studio. The app is built to run on Android versions Nougat 7.0 and Oreo 8.0, with a simple interface and a range of services including laundry pickup, scheduling of delivery, and live status updates. The app seeks to fill the gap between washermen (Dhobis) and customers, offering the latter employment and convenience in the form of working professionals, students, and people with hectic schedules. By solving typical issues in the laundry service business, including accessibility and delays in services, the Laundry Application provides a transparent and scalable solution. This paper also evaluates current laundry service apps and emphasizes the necessity of incorporating contemporary technologies such as IoT and machine learning in order to further improve service provision and user satisfaction.

In addition to improving convenience for time-pressed people like students and working professionals, this app gives washermen (Dhobis) job opportunities when they might not otherwise have much access to employment. The Laundry App offers a novel approach to a necessary service by fusing technology with commonplace necessities, making laundry care effective, dependable, and widely available. This essay will examine the application's development, design, and functionality with an emphasis on how it makes use of Android Studio and how it affects users and service providers.

2. Literature Review One important reaction to the fast-paced, tech-driven lifestyle has been the development of on-demand laundry services. Arun and Nandankumar emphasize in their paper how the emergence of these services is made possible by the incorporation of cutting-edge technologies like machine learning and the Internet of Things (IoT). These technologies have been used by on-demand laundry services like "IronMan" and "Super-Dry," to enhance user experience, streamline logistics, and generate employment opportunities for washermen. Even with these advancements, issues like geographical restrictions and technological reliance still exist, necessitating more research to guarantee broad accessibility.

Key Words: Laundry app, Android Studio, on-demand services, laundry management, employment opportunities, pickup and delivery, mobile application, Android Nougat, Android Oreo, Dhobis, IoT, machine learning.

1.INTRODUCTION In the busy world of today, where time is a precious asset, individuals are looking for on-demand services to make everyday tasks easier and save time. Laundry is one such necessary yet time-wasting chore, and therefore ondemand laundry services have become popular. As the world saw a growth in smartphones and mobile apps, several industries used mobile technology to provide easy, user-oriented solutions. The laundry sector is not left behind, with more mobile apps serving the laundry needs of customers.

The demand for laundry pickup and delivery services is analyzed in a review by Alkawaz et al., which highlights the significance of real-time tracking, RFID-based automation, and one-click mobile applications. These innovations increase customer satisfaction and expedite the laundry process. However, the review also draws attention to issues that are critical to these services' longterm viability, like data privacy, internet connectivity, and security. The study comes to the conclusion that the future of on-demand laundry services depends on striking a balance between user trust and technological advancements.

Although there are many laundry apps available, these are mostly constrained by geographic location or type of service. The Laundry App Using Android Studio seeks to address these restrictions by providing a more universal and inclusive platform. Created with Android Studio, the app is intended to provide relevant laundry pickup, washing, and delivery services to as broad a user base as possible, irrespective of location. The app brings in

Impact Factor value: 8.315

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