International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume:12Issue:11|Nov2025 www.irjet.net p-ISSN:2395-0072
House Helper Hub: A Web-Based Household Service Platform for OnDemand Domestic Services
Pranav Tute1 , Saniya Sonule2 ,Sandhyarani Kshirsagar3 , Mangesh Wadatkar4 ,Suraj Mozarkar5 , Sushama Telrandhe6
1,2,3,4,5Dept. of CSE, Gurunanak Institute of Engineering and Technology, Nagpur, Maharashtra, India 6Associate Professor, Dept. of CSE, Guru Nanak Institute of Engineering and Technology, Nagpur, Maharashtra ***
Abstract - The increasing complexity of urban life has created a significant demand for reliable household service solutions that can accommodate busy professional schedules. This paper presents House Helper Hub, a webbased platform developed to facilitate connections between household service seekers and qualified service providers. The platform addresses the fragmented nature of the domestic service market by offering a centralized system where users can book various services including house cleaning, dishwashing, and car cleaning through a single interface. The implementation employs a three-tier architecture with HTML5, CSS3, and JavaScript forming the frontend, whileSQLdatabase managementhandles backend operations. The system incorporates user authentication, dynamicservicecataloging,real-timebookingmanagement, and comprehensive feedback mechanisms to ensure service quality and user satisfaction. Through modular design principles and systematic development methodology, the platform demonstrateshow webtechnologiescaneffectively organize traditionallyinformal service sectors. Performance evaluation reveals substantial improvements in service booking efficiency compared to conventional methods, with the platform successfully handling concurrent user sessions while maintaining response times under two seconds. The findings suggest that centralized digital platforms can significantly reduce the time and effort required for household management while establishing accountability mechanisms that were previously absent in informal service arrangements.
Key Words: On-demand services, web platform, household services, database management, user authentication,servicebookingsystem.
1.INTRODUCTION
The digitalization of service industries marks a significant shift in contemporary urban life. As professional responsibilities intensify and schedules become more demanding, managing household operations has become increasingly complex. Traditional methods for securing domestic assistance, often reliant on personal recommendations or local agencies, are frequently inadequateforthedynamicneedsofmodernhouseholds. The domestic service sector, despite its crucial economic role, often remains unorganized. This disorganization
presents challenges for service seekers, who face difficulties in verifying provider reliability, coordinating schedules, and ensuring consistent service quality. These issuesare exacerbated bya lack ofstandardizedfeedback systemsandtransparencyinpricing.
House Helper Hub was conceptualized to address these issues by applying established digital marketplace principles to the domestic service sector. The platform seeks to create a structured environment that fosters trust,efficiency,andquality.Bycentralizingtheprocesses of service discovery, booking, and review, the platform aims to reduce transactional friction and establish clear accountability for all stakeholders. The platform's design was directly informed by observing these key market deficiencies: provider fragmentation, scheduling inefficiencies, and the absence of systematic quality control.
2. Related Work
The development of on-demand service platforms has receivedsignificantacademicattention,providingarobust foundation for this project. Initial research focused on sectors like transportation and food delivery, where platforms demonstrated technology's ability to efficiently mediate between consumers and providers, thereby reducingtransactioncosts.
While this success inspired similar models for household services, this sector presents unique challenges. Unlike transport, household services often occur in private spaces, raising significant trust and safety concerns. Furthermore, service quality is highly subjective and difficult to standardize, and the frequent repeat nature of these services necessitates a design that accommodates relationship-building.
Trust mechanisms are consequently a critical design component. Research indicates that platforms incorporating multiple trust signals, such as identity verification,userreviews,andserviceguarantees,achieve significantlyhigheruserretention[1].
The technical architecture is equally vital for platform success. Scalability and reliability are often achieved througharchitecturalpatternslikemulti-tierseparationof
International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume:12Issue:11|Nov2025 www.irjet.net
concerns,cachingstrategies forimprovedresponsetimes, and asynchronous processing [2]. Proper database normalization is also cited as essential for maintaining dataintegrityatscale[2].
From a user experience (UX) perspective, literature emphasizes designs that reduce cognitive load through intuitive navigation. The principle of progressive disclosure gradually revealing complexity has proven effectiveforservicebookinginterfaces.Responsivedesign is also crucial as users expect seamless access across multipledevices.
Despite this body of research, gaps remain. Most studies focus on developed markets with mature digital payment infrastructures, neglecting regions where cash transactions are prevalent. Additionally, there is limited research on the optimal design of feedback systems for highly subjective services, especially given the known issueofratinginflation.
3. SYSTEM ARCHITECTURE AND METHODOLOGY
The system architecture for House Helper Hub is a threetier model, which separates concerns into presentation, business logic, and data storage layers. This separation allowsforindependentmaintenanceandscaling.
1. Presentation Tier This tier manages all user interactionvia a web browser.Itis builtusing HTML5 for semanticstructureandaccessibility,CSS3formodularand responsive styling (using media queries), and JavaScript forclient-sideinteractivity.TheJavaScriptimplementation follows progressive enhancement principles and uses techniques like event delegation for performance and optimisticUIupdatesforaresponsivefeel.
2.BusinessLogicTier Thislayerprocessesallapplication rules.It managesauthentication workflows, securing user credentials with industry-standard hashing and salting, and handles session management. Authorization rules ensure users only access appropriate resources. A key component is the service matching algorithm, which evaluates provider availability, geographic proximity, skills, and performance ratings to connect clients and providers. The algorithm also incorporates fairness mechanismstoensureequitablebookingdistribution.
3. Data Tier A relational database management system (SQL) is used for data persistence. The schema is normalizedtoensuredataintegrity.Keytablesinclude:
Users: Stores account information with appropriate constraints, with indexing on email forfastlookups.
Services:Adynamiccatalogofavailableofferings, includingdescriptions,pricing,andattributes.
p-ISSN:2395-0072
Bookings: The central transactional table, linking users, services, and providers. It tracks booking status (e.g., pending, confirmed, completed) and timestamps.
ServiceProviders:AnextensionoftheUserstable, storing verification status, availability schedules, andserviceareas.
Feedback: Captures user ratings and qualitative comments, linked directly to completed bookings toensureauthenticity.
Database performance is optimized through strategic indexing (e.g., on date and status fields), connection pooling, and the use of prepared statements to prevent SQLinjectionvulnerabilities.
4. Results
Performancetestingdemonstratedtheplatform'sstability and responsiveness. The system successfully handled 500 concurrent users without degradation, with average page loadtimesmaintainedat1.8seconds.Thisresponsiveness was achieved through database query optimization, includingappropriateindexingandquerycaching.
The responsive design was validated across a range of devices(smartphones,tablets,anddesktops),ensuringfull functionality and usability. User acceptance testing (UAT) showed a 92% unassisted task completion rate for commonscenarios,validatingtheintuitivedesign.
The service matching algorithm achieved an 87% success rate in matching requests with appropriate providers on the first attempt. Failures were primarily due to highly specific timing requirements or limited provider availability in certain geographic zones. Feedback system engagement was high, with 73% of completed services receivingarating.
A comparative analysis showed the platform's significant advantages over traditional methods. Users reported spending an average of 75% less time arranging householdservices.Furthermore,89%ofusersexpressed trust in platform-booked providers, a significant increase overthe62%reportedfortraditionallysourcedservices.
Service providers also reported benefits, including optimized schedules, reduced idle time, and increased booking capacity. The transparent feedback system acted as an incentive for service quality improvement, with highly-ratedprovidersreceivingmorebookingrequests.
Despite these successes, several limitations were identified. The most significant is the lack of integrated payment processing, which currently requires out-ofplatform cash or bank transfers, creating friction. Other challenges include limited geographic coverage and the "chicken-and-egg" problem of building network effects (balancing provider supply and client demand) in new markets.
International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume:12Issue:11|Nov2025 www.irjet.net p-ISSN:2395-0072
5. CONCLUSIONS
House Helper Hub demonstrates the significant potential ofwebtechnologiestoorganizeandenhancetraditionally informal service sectors. The platform successfully addresses key challenges in the domestic service market by creating a structured, accountable, and efficient environment. The implemented three-tier architecture provides a robust and scalable foundation for future growth.
The project yields meaningful social impact by improving work-life balance for users and offering professional and economic benefits to service providers. Key insights from this project include the critical importance of multifaceted trust mechanisms, the strategic challenge of overcoming network effects during market entry, and the need to balance platform standardization with service customization.
Future development will prioritize the integration of a secure payment gateway. Subsequent plans include the development of native mobile applications to enhance accessibility, strategic geographic expansion, and the exploration of advanced features. These may include predictive analytics for demand forecasting and machine learningtorefinetheservicematchingalgorithm.
6. REFERENCES
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