WEB BASED KNOWLEDGE SHARE PLATFORM

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

Volume:12Issue:04|Apr2025 www.irjet.net p-ISSN:2395-0072

WEB BASED KNOWLEDGE SHARE PLATFORM

Shudhanshu Ranjan Dwivedi 1 , Vandana2 , Ankit Kumar3, Meenakshi Singh4, Vivek Krishna Mishra5

1-4 Student Computer Science and Information Technology, Dronacharya Group of Institution, U.P., India 5 Assist. Professor, Dept. of Computer Science and Information Technology, Dronacharya Group of Institution, U.P., India

Abstract - The capacity to access, exchange, and work together on knowledge is crucial for promoting creativity and lifelong learning in the current digital age. In order to promote smooth information sharing, this project presents a web-based information-sharing platform that allows users to create, share, and explore a variety of content, such as tutorials, articles, and multimedia resources. Constructed with the sturdy MERN stack (MongoDB, Express.js, React, and Node.js), the platform guarantees excellent performance, scalability, and security, enabling it to effectively manage a growing user base and volume of interactions. The platform's real-time collaboration function is one of its main highlights; it allows users to collaborate on projects and have debates, which promotes a collaborative learning environment. By offering tailored content recommendations based on user preferences, search trends, and previous interactions, the incorporation of machine learning algorithms improves user engagement. This guarantees that consumers are shown interesting and pertinent content that is catered to their interests while also optimizing content discovery. Users may easily browse through the platform's many functionalities and contribute content because of its intuitive and user-friendly layout. While secure authentication methods, such as JWT (JSON Web Tokens), protect user data and stop unwanted access, the content management system (CMS) guarantees effective organization and retrieval of knowledge resources.

Key Words: Digital Learning, Adaptive Learning, Secure Authentication, Machine Learning, Personalized Recommendations, Real-Time Collaboration, User Engagement

1.INTRODUCTION

Therehasneverbeenabiggerneedforefficientanduserfriendly knowledge-sharing platforms in a world that is becoming more and more digital and where progress is drivenbyinformation.Theflexibility,teamwork,andrealtimecommunicationrequiredtosatisfytheever-changing needs of contemporary education and professional development are frequently absent from traditional learning environments. In order to overcome these obstacles, this projectpresentsaweb-basedknowledge-sharingplatform thatenablesuserstoproduce,distribute, andaccessa varietyofcontent,suchastutorials,articles,andmultimedia

materials, in an easy-to-use and cooperative setting. By utilizing the MERN stack MongoDB, Express.js, React, and Node.js the platform guarantees a stable, scalable, and secure infrastructure that can effectively manage growinguserneeds.

This platform's real-time collaboration function, which enables users to interact with one another without difficulty regardless of where they are in the world, is one of its primary features. In order to promote a collaborative learning environment, users can collaborate on projects, participate in debates, and share ideas in real time. In addition to encouraging collaboration, this feature improves user insight sharing and knowledge retention. In order to guarantee that users receive pertinent and interesting information based on their preferences, past interactions, and search activity, the platform also incorporates personalized content recommendations driven by machine learning algorithms. A more immersive and customized learning experienceis facilitated bythiscleversuggestion system,whichalsoincreasesuserengagement.

The platform's integrated content management system (CMS) guarantees effective information organization and retrieval. The community can easily access knowledge resourcesbecauseoftheeasewithwhichusersmaysubmit, organize,andmanagecontent.Whilethebackend,whichis powered by Node.js and Express.js, guarantees seamless APIinteractionsandrequesthandling,theplatform'suserfriendly interface, which was created using React, offers smooth navigation and an improved user experience. The platform may grow as user demand rises thanks to the effective storage and management of massive volumes of datausingMongoDB,aversatileNoSQLdatabase.

In the current digital environment, security and privacy are crucial. The software uses JWT (JSON Web Tokens) authenticationtoprotectuserdata,guaranteeingsafelogin and thwarting unwanted access. Protocols for data encryption are also used to safeguard private data and uphold user confidence. Because of its highly scalable architecture,theplatformcansupportanexpandinguserpopulation while still offering the best possible security and speed.

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

Volume:12Issue:04|Apr2025 www.irjet.net p-ISSN:2395-0072

ExistingplatformslikeSlack,GoogleDocs,andStackOverflow, which have established standards for knowledge management,contentsharing,andreal-timecollaboration, serve as inspiration for this project. However, this initiative seeks to close the gaps left by conventional learning systems by combining features like collaborative workspaces,real-timeupdates,andpersonalizedrecommendationsintoasingleplatform.

To sum up, the Web-Based Knowledge Share Platform aims to transform the ways in which people produce, distribute, and utilize knowledge. The platform encourages knowledge democratization by utilizing contemporary online technologies and creating an engaging learning environment,guaranteeingthateveryonehasaccesstohighquality content. This study serves as evidence of how technology may change learning environments, close knowledgegaps,andenableuserstointeractwithcontent inameaningfulandcooperativeway.

1.1Objective

This project's main goal is to create a web-based Information sharing platform that uses contemporary web technologies to enable smooth knowledge sharing. The platform'sgoalistoestablishacollaborativeanddynamic space where users may produce, distribute, and access a varietyofcontent,suchastutorials,articles,andmultimediamaterials.Thefollowingaretheproject'smaingoals:

PromoteSmoothKnowledgeSharing: To offer an intuitiveplatformthatenablespeopletoeasilyproduce,organize,anddistributearangeofcontentformats,hencefacilitating knowledge that is easily available to a worldwide audience.

FacilitateReal-TimeCollaboration:Toincorporaterealtime collaboration tools that enable several users to collaborate on projects, have conversations, and make contributions as a group, creating a dynamic and captivating learningenvironment.

Put Personalized Content Suggestions into Practice: toimproveuserengagementandguaranteethedeliveryof pertinent information by using machine learning algorithmsthatexamineuserbehavior,preferences,andinteractions to provide tailored content recommendations.

Assure Scalability and High Performance: To employ theMERNstack(MongoDB,Express.js,React,andNode.js) to create a scalable architecture that can accommodate growing user demands without sacrificing dependability andperformance.

Improve Security and Privacy: To put strong security measuresinplace,suchasdata encryptionandJWT(JSON WebTokens)authentication,tomakesureuserdataissafe andillegalaccessisavoided.

Create a Content Management System (CMS) That Is Effective: to provide a structured CMS that makes it simple to manage, organize, and retrieve knowledge resources, facilitatinguserdiscoveryandcontentcreation.

Encourage Continuous Learning and Knowledge Democratization:Tocloseknowledgegapsbyofferingaplatform that supports inclusion, democratizesaccess to highquality information, and fosters continuous learning.

The platform hopes to change conventional knowledgesharing paradigms and provide a more cooperative, dynamic, and interesting learning environment by accomplishingthesegoals.

1.2Methodology

Inordertoguaranteescalability,performance,and security while providing an easy-to-use and captivating user experience, the Web-Based Knowledge Share Platform is developed using a methodical and well-defined approach. The MERN stack MongoDB, Express.js, React, and Node.js was used in the project's construction to facilitatesmoothfront-endandback-endcommunicationwhile guaranteeingeffectiveandsafecontentmanagement.

This research adopts a design and development-based methodology, focusing on creating a scalable and userfriendly web platform that facilitates knowledge sharing among users. The system is developed using the MERN stack comprising MongoDB,Express.js,React.js,and Node.js to ensure responsiveness, performance, and modernwebstandards.

The process begins with requirement analysis gathered through surveys and informal interviews to understand userexpectationsfromaknowledge-sharingportal.Based ontheseinsights,a modulararchitectureisdesignedwith key functionalities like user authentication, post creation, content interaction (likes, comments), and search/filter features.

Frontendcomponentsarebuiltusing React.js withreusable UI elements for efficiency and consistency. The backend,poweredby Node.jsandExpress.js,handlesAPI routing, user session management, and business logic. MongoDB is employed as a NoSQL database to store dynamiccontentsuchasuserdata,posts,andinteractions.

Feasibility study and requirement analysis

To determine the essential features and functionalities needed for the platform, a thorough requirement analysis was conducted in the first phase. Personalized suggestions, content management, secure user authentication, and real-time collaboration are examples of functional requirements. Aspects like system scalability, high performance, data security, and smooth user interaction are

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

Volume:12Issue:04|Apr2025 www.irjet.net

all covered by non-functional requirements. Toevaluatetheproject'stechnicalandfinancialviability,a feasibility study wascarried out.TheMERN stack wasselected based on the analysis because of its performance, flexibility,andcapacitytomanageintricatereal-timeactivities.

Architecture and Design of the System

The system architecture was created to guarantee seamless communication between the database, server, and client.Thefollowinglayersmakeupthearchitecture:

Fig-1 Methodology

Front-EndLayer: This layer, which was created with React.js,offersaninteractiveuserinterfacethatenablescontentcreation,access,andmanagement.Dynamicroutingis managed by React Router, while connection with the backendAPIsisfacilitatedusingAxiosorFetchAPI.

Back-EndLayer:TobuildRESTful APIsthatprocessuser input, handle HTTP requests, and oversee business logic, the backend is constructed with Node.js and Express.js Request validation, error handling, and logging are handledbymiddlewarecomponents.

Database Layer: User profiles, content, and activity logs arestoredinMongoDB,aNoSQLdatabase.Databaseoperationsarecarriedout effectivelyandschemasare defined usingMongooseORM.

Authentication and Security Layer: Secure authentication is implemented and unwanted access to the platform is prevented through the usage of JWT (JSON Web Tokens).

1.3IMPLEMENTATION

1. Development of Front-End

Usingacomponent-basedmethodologythatenablesmodular and reusable user interface components, the frontendwascreatedwithReact.js.

State Management: To ensure data consistency and smooth component interaction, global state management ishandledviaReduxandContextAPI.

p-ISSN:2395-0072

UI/UX Design: A responsive, aesthetically pleasing, and user-friendlyuserinterfacewasproducedusingtheMaterial-UIandBootstrapframeworks.

Real-TimeCollaboration: WebSocketandSocket.iowere used to provide collaborative content editing and realtimeupdates,guaranteeingsmoothuserengagement.

2.Development of the Back End Node.js and Express.js were used in the backend's constructiontobuildAPIsthatcontroluserrequestsandcontent operations.

RESTful APIs: To make content administration easier, CRUD (Create, Read, Update, Delete) functions were put into place.

Implementation of Middleware: To manage authentication, error handling, and request validation, middleware wasincluded.

Real-TimeCommunication: To enable real-time updates and notifications, a bi-directional communication channel wasestablishedusingWebSocket.

Personalization and Content Management

To effectively manage, arrange, and access user-uploaded material,theplatformhasamaterial ManagementSystem (CMS).

ContentOrganization:Toguaranteesimpleretrievaland organized storage in MongoDB, content is tagged and categorized.

Customized Suggestions: To provide tailored content recommendations, machine learning algorithms examine userbehavior,searchhistory,andpreferences.

Engine for Suggestions: To improve the recommendations' relevance, content-based and collaborative filtering strategieswereused.

3. Implementation of Authentication and Security

Severallevelsofprotectionwereusedtoprioritizesecurity.

User Authentication: To protect sensitive data and authenticateusers,JWTtokenswereutilized.

DataEncryption:Toavoiddatabreaches,sensitivedatais encryptedusingindustry-standardencryptionalgorithms.

Role-Based Access Control (RBAC): To guarantee that various user roles have limited access to particular functionality,permissionsandaccesslevelswereestablished.

4.Quality Assurance and Testing

Toguaranteetheplatform'sdependabilityandfunctionality, a thorough testing procedure was implemented.

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

Volume:12Issue:04|Apr2025 www.irjet.net p-ISSN:2395-0072

Unit Testing: The correctness and functionality of individualmodulesandcomponentswereexamined.

Integration Testing: To guarantee smooth connectivity betweensystemcomponents,APIendpointsandreal-time communicationchannelswereexamined.

UserAcceptanceTesting: EndusersparticipatedinUser Acceptance Testing (UAT) to assess the platform's overall usability,performance,anduserexperience.

5.Implementation and Upkeep

Toguaranteescalabilityandhighavailability,the platformwasfinallydeployedonacloudinfrastructure.

CloudDeployment:Toensureoptimumperformanceand dependability,theplatformwashostedoncloudplatforms likeAWS,Heroku,orVercel.

Database Management: The database was secured and managedinacloudenvironmentusingMongoDBAtlas.

Continuous Monitoring and upgrades: To guarantee systemstability,addnewfeatures,andfixanyvulnerabilities, post-deployment routine monitoring and upgrades werecarriedout.

6.CoreFunctionalitiesImplemented

User Authentication: Secure signup and login system using JWT(JSONWeb Tokens) and bcrypt for password hashing.

Post Management: Users can create, edit, and delete posts.Eachpostincludesatitle,description,category,and timestamps.

CommentSystem: Enablesuserstocommentandreplyto discussionsundereachposttoencourageengagement.

Search & Filter: Posts can be searched by keywords and filteredbycategoriestoenhanceaccessibility.

Like System: Users can upvote posts they find useful, helpinghighlightvaluablecontent.

FLOWCHART

Fig-2:Flowchart

1.4RESULT

Thedevelopedplatformwasevaluatedbasedonfunctionality, usability, performance, and user feedback. Testing involved both technical validation and user interaction to assess the system’s overall effectiveness in facilitating knowledgesharing.

1.FunctionalityTesting

All corefeatures including userauthentication,postcreation, commenting, liking, and content search were tested thoroughly using real-world use cases. The application successfullyhandled:

 Userregistrationandsecurelogin/logout

 Real-timepostcreationandupdates

 Seamlesscontentbrowsingandfiltering

 Error handling for invalid inputs and unauthorizedactions

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

Volume:12Issue:04|Apr2025 www.irjet.net p-ISSN:2395-0072

2.PerformanceEvaluation

Thesystemwasdeployedoncloudserversandtestedwith simulatedtraffic.Theresultsindicated:

 AverageAPIResponseTime:~160ms

 PageLoadTime(Frontend):~1.3seconds

 Uptime:99.8%overa7-daytestingperiod

 Concurrent User Handling: Smooth performance withupto100simultaneoususers

3.UserFeedback

Ausertestingsessionwasconductedwith20participants, includingstudents,professionals,andeducators.Feedback wascollectedthroughGoogleForms.

KeyObservations:

 85%foundtheUIintuitiveandeasytonavigate

 80% stated the content-sharing and commenting systemwaseffectivefordiscussion

 90% appreciated the fast-loading speed and mobileresponsiveness

 Suggestions:Usersrecommendedaddingnotificationsandprivatemessaginginfutureversions.

3.CONCLUSIONS

The Web-Based Knowledge Share Platform offers a dynamic,interactive,andsafeenvironmentforcontentcreation, sharing, and collaboration, effectively addressing the drawbacks of conventional knowledge-sharing systems. The platform, which was constructed with the powerful MERN stack (MongoDB, Express.js, React, and Node.js), guarantees smooth front-end and back-end communication while preserving excellent performance and scalability.

Advanced features like real-time collaboration, tailored content recommendations, and safe user authentication withJWTtokensareallintegratedintotheplatform.While its machine learning-powered recommendation system guarantees that users receive pertinent and interesting material basedontheirchoices,itsuser-friendlyinterface improves the overall user experience. Knowledge sharing is made easy by the content managementsystem(CMS),whichmakessurethatcontentisefficientlyorganizedandaccessible.Toprotectuserdataand stop unwanted access, the platform also includes strong security features including role-based access control (RBAC)andJWT-basedauthentication.

Additionally, the platform promotes a collaborative learning environment where users may interact dynamically with information resources by integrating real-time updates, notifications, and interactive features. The platform's stability, performance, and scalability are ensured by thorough testing and cloud-based deployment, which makessureitcanaccommodatethevariousdemandsofan expandinguserbase.Inthefuture,theplatform'scapabilitieswillbefurtherincreasedbyintegratingblockchainfor data security, AI for content moderation, mobile app development, and improved collaborative tools. In addition to increasing user engagement and knowledge sharing, these upcoming improvements will position the platform as a strong and safe knowledge-sharing ecosystem.

To sum up, the Web-Based Information Share Platform is proofthatcontemporarywebtechnologiesmaytransform information-sharing paradigms by fostering inclusion, overcoming gaps, and enabling users to interact and collaborate with knowledge. The platform has the ability to completely change how knowledge is shared, accessed, andimprovedinthedigitaleraasitdevelopsfurther.

REFERENCES

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[4] D.KumarandA.Sharma,“EnhancingUserEngagement Through Personalized Recommendations Using Machine Learning,” IEEE Conference on Artificial Intelligence and Data Science,pp.221-228,2023.

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[7] S. Banerjee and R. Mehta, “Exploring the Role of RealTime Collaboration in Knowledge Sharing Systems,” Journal of Modern Web Technologies, vol. 20, no. 1, pp. 34-41, 2024.

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