RigMaker: An Intelligent System for Custom PC Configuration and Compatibility Analysis

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

RigMaker: An Intelligent System for Custom PC Configuration and Compatibility Analysis

Sharvil Patil1 , Manan Lambe2 , Krish Patil3 , Parth Salvi4 ,Mr. Dhrupesh Savadia5

1 , 2 Final Year Student, Department of Computer Engineering, ZAGDUSING CHARITABLE TRUST\'S THAKUR POLYTECHNIC, Kandivali, Maharashtra, India

3 ,4 ,5 Final Year Student, Department of Computer Engineering, ZAGDUSING CHARITABLE TRUST\'S THAKUR POLYTECHNIC, Kandivali, Maharashtra, India

Abstract - The rapid advancement of computer hardware technologieshasmadepersonalcomputer(PC)buildingmore complex for users, especially beginners who lack sufficient technical knowledge about component compatibility, performance optimization, and budget management. This researchintroduces RigMaker – an AI-powered PC Building Assistant, a web-based intelligent system designed to help users build customized personal computers through automatedrecommendations,compatibilityverification,and interactive visualization.

RigMakerAIleveragesartificialintelligenceandmodernweb technologiestoprovideuserswithpersonalizedPCcomponent suggestions based on their requirements such as budget, performance expectations, and intended use cases including gaming, content creation, programming, and AI/ML workloads. The system incorporates an AI conversational assistant that understands natural language queries and provides intelligent guidance throughout the PC building process.

Key Words: Artificial Intelligence, PC Building Assistant, Hardware Compatibility, Recommendation System, 3D Visualization, Web Application

1.Introduction

Building a custom personal computer has become increasingly popular among users who require highperformance systems tailored to specific tasks such as gaming,softwaredevelopment,contentcreation,orartificial intelligenceworkloads.However,assemblingaPCrequires significant knowledge about hardware components includingprocessors,graphicscards,motherboards,memory modules,storagedevices,andpowersupplies.Usersmust also ensure compatibility among these components while maintaining a balance between performance and budget constraints.

Many users face difficulties when selecting appropriate hardwareduetothewiderangeofavailablecomponentsand rapidly evolving technology. Selecting incompatible parts may result in system instability, hardware damage, or performancebottlenecks.TraditionalPCbuildingresources such as forums, guides, and online configurators provide

some assistance but often lack intelligent automation and personalizedguidance.

RigMaker AI then generates optimized component recommendationsbyanalyzingtheuser'srequirementsand selectingcompatiblehardwarefromapredefineddatabase ofPCcomponents.Thesystemalsoincludesacompatibility checkerthatverifieswhetherselectedcomponentscanwork togetherwithoutconflicts.

2. Literature Review

Several studies have explored the development of recommendation systems and intelligent assistants for technical decision-making processes. Recommendation systems are widely used in e-commerce platforms, where algorithmsanalyzeuserpreferencesandsuggestproducts thatmatchtheirneeds.Thesesystemsutilizedataanalytics, machinelearningtechniques,andknowledge-basedmodels to improve decision accuracy and user satisfaction. In the context of computer hardware selection, various online platformsprovidePCconfigurationtoolsthatallowusersto select components manually while checking compatibility constraints. These platforms often rely on predefined compatibility rules to prevent incompatible hardware combinations.However,mostofthesesystemsrequireusers tohavepriorknowledgeaboutPChardwarespecifications, limitingtheirusabilityforbeginners. Researchinartificial intelligence has demonstrated the potential of conversationalagentsinassistinguserswithcomplextasks. AI-poweredchatbotsarecapableofunderstandingnatural languagequeriesandprovidingcontext-awareresponses.By integrating natural language processing techniques, such systems enable intuitive interaction between users and machines. Additionally, visualization technologies have becomeincreasinglyimportantinimprovinguserexperience indigitalapplications.Three-dimensionalvisualizationtools allow users to interact with digital models and explore complex structures in an intuitive manner. In hardwarerelated applications, 3D visualization can help users understand system layouts and component arrangements more effectively than traditional text-based interfaces. Anotherimportantareaofresearchinvolves compatibility analysis systems,whichareusedinengineeringandsystem designtoensurethatdifferentcomponentsfunctiontogether properly.Compatibilitycheckingsystemstypicallyrelyon

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

rule-basedvalidationmechanismsthatevaluateparameters such as socket type, power consumption, and physical dimensions. Previous research also emphasizes the importanceofuserinterfacedesignincomplexapplications. Modernuserinterfacesincorporateinteractiveanimations, responsivelayouts,andvisuallyengagingdesignelementsto improveusabilityanduserengagement.Theintegrationof artificial intelligence, recommendation systems, and visualizationtechnologiespresentssignificantopportunities for improving PC building tools. By combining these technologies into a unified platform, users can receive automated guidance, detect compatibility issues, and visualize system configurations in real time. RigMaker AI builds upon these concepts by integrating AI-based recommendations, compatibility validation, and interactive 3D visualization, thereby creating a comprehensive platform that enhances the PC building experience for users with varying levels of technical expertise.

3. System Design

Overview:-

The system design of RigMaker AI focuses on creating an intelligentandinteractiveplatformforbuildingcustomPCs. The architecture of the system is composed of multiple modules that work together to deliver AI-powered recommendations, compatibility analysis, and visual representationofPCbuilds.Atthecoreofthesystemliesthe AI recommendation engine,whichprocessesuserinputs and generates hardware suggestions based on predefined rulesand performance considerations. Userscandescribe their requirements such as budget range, intended usage, and performance priorities. The AI engine analyzes these parameters and recommends suitable PC components accordingly.Anothermajormoduleofthesystemisthe PC Builder module,whichallowsuserstomanuallyselector modifycomponentswithintheirbuild.Thismoduleprovides access to a comprehensive database of hardware components including CPUs, GPUs, motherboards, RAM, storagedevices,andpowersupplies.

The compatibility checking module playsacriticalrolein ensuringthatselectedcomponentsworktogethercorrectly. This module performs real-time validation of hardware specifications such as processor socket compatibility, motherboard form factors, RAM support, and power requirements.Thesystemalsoincludesa 3D visualization module thatprovidesaninteractiverepresentationofthe selected PC configuration. Using Three.js and React Three Fiber, the application renders a virtual PC case where individual components are displayed in their respective positions.Userscanrotate,zoom,andexplorethe3Dmodel toinspectthearrangementofcomponentsandunderstand theinternalstructureoftheirsystem

Thisfeaturesignificantlyenhancestheuserexperienceby providing visual feedback during the PC building process. Thefront-endofthesystemisdevelopedusing Next.js and React, enabling efficient rendering and responsive performanceacrossdevices.TailwindCSSisusedforstyling theuserinterface,incorporatingmoderndesignprinciples such as glassmorphism and neon color accents. State management within the application is handled using Zustand, ensuring efficient communication between differentcomponentsofthesystem.Thisarchitectureallows the application to maintain real-time updates as users modifytheirPCconfigurations. Overall,thesystemdesign emphasizesmodularity,scalability,andusability,enabling RigMaker AI to provide a seamless and intelligent PC buildingexperience.

4. Functionality of the System

RigMaker AI provides a wide range of functionalities designed to assist users in building optimized PC configurations efficiently. These functionalities are organized into several core modules that handle AI interaction,componentselection,compatibilityvalidation, andvisualization.The AI assistant module allowsusersto interactwiththesystemusingnaturallanguage.Userscan describe their requirements, such as budget limits or performance goals, and the AI assistant generates appropriate component recommendations. This conversationalinterfacesimplifiestheprocessforuserswho maynotbefamiliarwithtechnicalhardwarespecifications. The PC builder module enablesuserstomanuallyconfigure their systems by selecting components from a structured database.Userscanbrowsethroughdifferentcategoriesof hardware and customize their build according to their preferences.

Thesystemalsoincludesa budget management feature, whichensuresthatselectedcomponentsremainwithinthe user'sspecifiedbudgetrange.Iftheconfigurationexceeds the budget, the system provides alternative component suggestionsthatmaintainsimilarperformancelevelswhile reducingcost.Anotherkeyfunctionalityisthe compatibility checking system,whichautomaticallyverifieswhetherthe selected components are compatible with each other. The system identifies potential issues such as mismatched processor sockets, insufficient power supply capacity, or incompatiblemotherboardformfactors.

RigMakerAIalsoprovides performance analytics,which evaluatetheoverallcapabilityofthePCbuild.Thesystem calculates metrics such as estimated power consumption, price-to-performance ratio, and suitability for specific use casesincludinggaming,programming,andcontentcreation. The 3D visualization module allowsuserstoviewtheirPC configurationinaninteractiveenvironment.Userscanrotate the model, zoom into specific components, and visually explore how the system is assembled. Additionally, the

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

application includes modern UI features such as smooth animations,responsivelayouts,andreal-timenotifications. These features enhance usability and provide a visually engaginguserexperience.

5. Database Design

ThedatabasedesignofRigMakerAIisstructuredtostoreand manageinformationrelatedtohardwarecomponents,user preferences,andPCconfigurations.Thedatabaseservesasthe backboneoftherecommendationandcompatibilityanalysis system.

Theprimarydata entityin the database is the component table, which stores detailed information about hardware components such as processors, graphics cards, motherboards,memorymodules,storagedevices,andpower supplies.Eachcomponententryincludesattributessuchas model name, manufacturer, specifications, price, and compatibilityparameters.

Anotherimportantentityisthe build configuration table, which records thePCconfigurations created byusers.This tablestoresreferencestotheselectedcomponentsandallows userstosaveandrevisittheirbuilds.

Compatibility relationships between components are managedusingspecificationfieldssuchasCPUsockettype, RAM type, motherboard chipset, and power requirements. These attributes are used by the compatibility checking moduletoverifywhethercomponentscanfunctiontogether properly.

Thesystemalsomaintainsa userinteractiondataset,which storesuserpreferencesandpreviousconfigurationdata.This information helps the AI assistant generate more accurate recommendationsbasedonuserbehaviorandrequirements.

Indexes and optimized queries are used to ensure efficient retrieval of component data during the recommendation process. This design enables the system to quickly analyze hardware specifications and generate compatible configurationsinrealtime.Overall,thedatabasearchitecture ensuresefficientdatastorage,fastretrieval,andscalabilityfor handlinglargehardwarecomponentdatasets.

6. Problem Statement

Selectingcompatible hardwarecomponentsfor buildinga custompersonalcomputercanbechallenging,particularly foruserswithlimitedtechnicalknowledge.Thelargevariety ofavailablePCcomponentsandrapidlyevolvingtechnology often make it difficult for users to identify suitable configurations that meet their performance requirements and budget constraints. Existing PC configuration tools typically require users to manually select hardware componentsandverifycompatibilitythemselves.Thesetools oftenlackintelligentguidance,makingtheprocessconfusing forbeginners.Furthermore,manyplatformsdonotprovide interactivevisualizationordetailedperformanceanalysis.

Anothermajorchallengeistheabsenceofintelligentsystems capableofunderstandinguserrequirementsthroughnatural language interaction. Users often need to research extensivelybeforeselectingappropriatecomponents,which increasesthetimeandeffortrequiredforbuildingasystem.

Additionally, compatibility errors such as mismatched processor sockets, insufficient power supplies, or incompatibleformfactorscanleadtohardwarefailuresor systeminstability.Withoutpropervalidationmechanisms, users may unknowingly create configurations that cannot functionproperly.

Therefore, there is a need for an intelligent platform that simplifiesthePCbuildingprocessbyprovidingautomated recommendations,compatibilityvalidation,andinteractive visualization tools. RigMaker AI aims to address these challenges by integrating artificial intelligence, recommendation systems, and visualization technologies intoaunifiedPCbuildingassistant.

7. Advantages

RigMaker AI offers several advantages that improve the overallPCbuildingexperienceforusers.

First,thesystemsimplifiesthehardwareselectionprocess byprovidingAI-poweredrecommendationsbasedonuser requirements.Thisfeatureallowsuserstoquicklygenerate

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

optimized PC configurations without extensive technical knowledge.

Second,thecompatibilitycheckingsystemreducestherisk ofhardwareconflictsbyautomaticallyvalidatingcomponent specifications. This ensures that selected components can functiontogetherproperly.

Another significant advantage is the interactive 3D visualization feature,whichallowsuserstoexploretheir PC builds in a virtual environment. This visual representation enhances understanding of system architectureandcomponentplacement.

Theplatformalsoincludes performance analytics,which help users evaluate the efficiency and value of their configurations.Userscancomparedifferentbuildsandmake informed decisions regarding performance and cost optimization.

Additionally, the modern and responsive user interface improvesusabilityandaccessibilityacrossmultipledevices. The application provides smooth animations, intuitive navigation,andvisuallyappealingdesignelements.

Overall,RigMakerAIprovidesacomprehensivesolutionthat combines automation, visualization, and compatibility analysistosimplifythePCbuildingprocess.

ThedevelopmentofRigMakerAIdemonstratesthepotential of artificial intelligence and modern web technologies in simplifyingcomplextechnicaltaskssuchasPCbuilding.

ByintegratingAI-poweredrecommendations,compatibility analysis,andinteractivevisualization,thesystemprovidesa comprehensive platform that assists users in creating optimizedPCconfigurations.

Theplatformenablesuserstodescribetheirrequirements usingnatural languageand receive intelligentsuggestions

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

tailored to their budget and performance goals. The compatibility checking system ensures that selected componentsworktogetherwithoutconflicts,reducingthe riskofconfigurationerrors.

Furthermore, the interactive 3D visualization module enhances user engagement by providing a realistic representation of the PC build. This feature helps users better understand system architecture and component placement.

The use of modern technologies such as Next.js, React, TypeScript, and Three.js ensures high performance, scalability, and an engaging user interface. These technologiesenableRigMakerAItodeliveraresponsiveand visuallyappealinguserexperience.

Inconclusion,RigMakerAIservesasaninnovativesolution forPCconfigurationandhardwareselection.Theintegration ofartificialintelligence,real-timecompatibilityanalysis,and advancedvisualizationtechniquessignificantlyimprovesthe efficiencyandaccessibilityofthePCbuildingprocess.

Futureenhancementsmayincludeintegrationwithreal-time hardwarepricetracking,advancedmachinelearningmodels forrecommendationoptimization,andexpandedcomponent databasestofurtherimprovethesystem'scapabilities.

References

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