Secure Skill Trading and Mentorship Platform

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

Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072

Secure Skill Trading and Mentorship Platform

Uma Tiwari1, Pranay Khedekar2, Prachiti Shivalkar3,Mansoori Gayyur Ali Abrar Ahmed4

[1-4] Diploma Student, Dept. of Computer Engineering, Thakur Shyamnarayan Engineering College, Maharashtra, India

Guided by: Prof Mr Manish Vasant Salvi, Dept. of Computer Engineering, Thakur Shyamnarayan Engineering College, Maharashtra, India

Abstract – The demand for adaptable and inclusive learningoptionshasdeterminedtheneedforpeer-to-peerskill exchange platforms. Existing peer-to-peer skill exchange platforms have limitations like trust building, less secure transactions, etc. In response, our paper highlights a Secure Skill Trading and Mentorship Platform that enables skill exchangeina trustworthyformat,whetherpaidorbarter.The suggested platform will feature payment using an escrow system. Payments will be held in escrow until the session is 100% complete, therefore ensuring a secure transaction. To assist in dispute resolution, the platform will utilise an AIassisteddisputeresolutionsystemto analysethesessionusage and make informed, fair decisions. Additionally, there will be AI-generated skill matching, chat and live meeting modules, userratingsandreviews,and skilldevelopmenttracking.Allof these features develop a trustworthy environment and optimise user experience. The suggested platform applies modern technologies, such as React (Vite) for the client-side, Spring Boot for the server-side, Firebase for user authentication and database management, and Razorpay for secure payment processing. With these features in mind, the Secure Skill Trading and Mentorship Platform will provide a scalable, secure, and user-friendly method for both students and individuals looking for skill development and mentoring opportunities. The Secure Skill Trading and Mentorship Platform isthemost effective solutiontoimprovingthequality of mentoring through peer-to-peer skill exchanges.

1. INTRODUCTION

Intoday’sfast-growingdigitalworld,thewayapersongains and shares knowledge has changed rapidly. Unlike traditionallearningmodels,whichhavetypicallearningand one-way teaching methods, more flexible and peer-driven approacheshavechangedthewayoflearningnewskills.In such platforms, a person can both learn and teach, which makesthewholelearningprocesscollaborativeandefficient

Inrecentyears,peer-to-peerskillexchangeplatformshave appearedasaneffectivelearningsolutiontobridgethegap between learners and skilled individuals. These platforms encourage accessibility by allowing users to share their expertise while gaining knowledge in other domains. However,existingplatformsfacesomechallenges,likealack of trust between users, limited verification of skills, the absenceofsecuretransactionmechanisms,andinsufficient disputeresolutionprocesses.

Todealwithsuchchallenges,thisresearchpaperpresents the design and development of the world’s first platform whereusersexchangetheirtalentsascurrency,namedthe Secure Skill Trading and Mentorship program. In this platform,userscangainknowledgethroughboththebarter and paid models. We have designed this platform for students and individuals who wish to gain knowledge of other domains by teaching their skills in exchange. The platformenablestheusertolearnandshareknowledgein an efficient and cost-effective manner. Unlike standard platforms, it integrates multiple features such as skill-forskillexchange,escrow-basedpaymenthandling,AI-assisted disputeresolution,andintelligentskillmatchingtoensurea trustworthy,clear,andtransparentlearningenvironment.

Themainfeatureoftheproposedplatformistoincludean Escrowpaymentsystem,wherethepaymentsaresecurely storedinthecloudduringthesessionandreleasedonlyafter thelearnerissatisfiedwiththelivesession.Thismechanism reducestheriskoffraudandensuressecurityforboththe mentorsandthelearners.Additionally,theplatformincludes efficientreal-timecommunicationfeaturessuchaschatand live-meeting sessions, enabling effective interactions betweenusers.TheintegrationofAI-basedmonitoringand dispute handling further strengthens users' trust in the platform by analysing the live-meeting sessions through whichitisdecidedifthesessionwasgenuineornot,andif further payment procedures should be taken into consideration

Theproposedplatformismadeusingmoderntechnologies, whichincludeaReact-basedfrontend,SpringBootbackend, Firebase services for authentication and database management,andRazorpayforsecurepaymentprocessing. Thiscombinationensuresgrowth,speedandsafeprotection ofuserdataandtransactions.

The platform aims to create a secure and easy-to-use environment for skill exchange, especially benefiting students and unemployed individuals by providing them withanopportunityforlearning, mentorship,andearning from their skills. The remainder of this paper discusses existingworkinthisdomain,identifiesresearchgaps,and presents the methodology and design of the proposed system.

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

Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072

2. Literature Review

Recently, there has been growing interest in peer-to-peer learning and knowledge exchanges as a way of providing education that is flexible and easily available. Most of the research studies discuss the issues of designing and implementingeducationalplatformsenablingpeer-to-peer skillsandknowledgeexchange.

Thetopicofapossibleplatformthatcouldsupportsuchan exchangeiscoveredinPeer-to-PeerSkillsandKnowledge ExchangePlatform.Thestudyemphasisestheimportanceof collaborativelearningasitimpliesthattheusersteacheach other.However,itlacksadequatemeasuresforestablishing trustamongtheusersandensuringsecuretransactions.

[3]discussesonlinelearningandmentorshipplatforms.The studyindicatesthatdigitalplatformsallowforestablishing effective communication with a potential mentor, thus increasingaccessibilitytoeducation.Itdoesnotconsiderthe problem of secure payments or mechanisms for resolving disputesinthecaseofproblems.

[5] modern technological opportunities are explored through the use of such features as cloud systems and communicationplatformsineducationalapplications.Such measures help improve user engagement with their experience due to real-time interactions; however, no verificationoptionsareprovided.

Oneaspectworthmentioninginthediscussionofpayment andtransactionsecurityisthearticle.[1]thisworkcovers theissueofdeveloping mechanisms for securelyhandling money transfers, suggesting the implementation of thirdparty services. However, no escrow mechanism, which would involve transferring the money after service completion,wasincludedinthisstudy.

Finally, recent achievements in artificial intelligence technologyarealsoappliedtoonlineeducation.[2]focuses onpersonalisedautomateddecision-makingforimproving the overall process of education and supporting students. Disputeresolutionandreal-timeproofofsessioncompletion aretwooftheareasleftundevelopedhere.

Overall, from the review of relevant literature, it becomes evident that modern applications are effective in terms of accessibility, interaction, development and improvement; however, they lack important components such as trust management,financialsecurity,verificationofcompletionof learningsessions,disputeresolution,etc.

3. Discussion and Research Gap

Recentliteraturereviewsrevealremarkableadvancements in the area of peer-to-peer learning platforms and mentorship systems. They contribute significantly to improvingknowledgesharing,enhancingaccessibility and

promoting collaboration. However, despite all the advantages,theysufferfromseriouslimitations.

Oneofthemajorobstaclesisassociatedwithalackoftrust and reliability in peer-to-peer skills exchange. Communication and contact between users are provided efficiently; however, there is no effective mechanism for ensuring mutual commitment and fulfilling the terms and conditions agreed upon by the parties. As a result, the processofinteractionraisescertainconcerns,particularlyin termsofitsfinancial aspect, and usersarelessinclined to payforservices.

Another crucial problem to be addressed is the lack of a reliable,secure,andconditionalpaymentmechanism.Some platformsresorttothird-partypaymentgateways;however, they fail to prevent users from transferring funds directly andwithoutanyassurancethattheagreedtransactionwill be fulfilled. This may give rise to disputes. Escrow-type transactions are rather uncommon for mentorship applicationsatthemoment.

Resolution of disputes in modern mentorship systems is usually handled manually, requiring time and human resources.Currently,thereisnowidespreadapplicationof advanced analytical mechanisms aimed at monitoring communication between participants, analysing their performance,andmakingadecisionautomatically.

In addition, most learning and mentoring platforms lack verificationofthelearningprocessesthemselves.Theymay provide an opportunity to start and conduct chats and videoconferences,buttheydonotensurethatitreally happens.

Moreover,skillmatchingislimitedtocertainkeywordbasedmechanismsandfailstotakeintoaccountother factors(e.g.,skilllevel,commoninterest),whichcanbe crucial to establishing the most effective communicationbetweenusers.

Last, but not least, issues related to security and verificationsofusers'identitiesarecommontomany platforms and raise doubts concerning their effectiveness.

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

Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072

TheSecureSkillTradingandMentorshipPlatformthatwe proposewillofferacombinedwayforuserstolearnfrom eachotherandutilisefinancialtoolstosecurelydoso,while providing an intelligent way to automate many of the

processesinvolvedinskillsharing.Wewanttocreateasafe and trusted environment for members of our community whocanshareskillsorservicesviathebarteringmethod,as wellasthroughpaidservices.

This system is designed using a modern multi-tier architectureandutilisesReact(withVite)tobuildthefront end ofourapplicationandSpringBoottoimplementcore logicandsecuredatamanagement.Tosupportstorageand identitymanagement,wewilluseFirebaseforthispurpose. Razorpay will also provide us with an escrow-based paymentsystemthatwillallowustomaintainascalableand accessibleplatformforallusers.Theoverallworkflowofthe systemisdesignedtoprovideeaseofuseandsafetyforour members. Users who register and list their skills will be matched by our artificial intelligence-based matching algorithm,aswellasbeingmatchedbyothermemberswho havebeenidentifiedasneedingspecificskills.

Fromthispointforward,userswillhavetheabilitytoeither directlyexchangeskillswitheachotherortoparticipatein thepaidmentorshipoption.Ifamentorisofferingtoprovide apaidsession,wewilluseauniqueescrowprocessthatwill holdthepaymentuntiltheuserissatisfiedthatthesession wascompletedandmeetstheirexpectations.Throughthis approach,wecanminimisetheriskoffraudandensureafair processforallparties(thelearner,mentor,andplatform).In ordertocontinueprovidingqualitystandards,wehavebuilt an in-house system that manages user verification, skill matching,andsecuretransactions.

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

Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072

5. CONCLUSION

Thepaperdetailstheoveralldesignandimplementationofa SecureSkillTradingandMentorshipPlatformthatenables peopletoexchangeskillsdirectlywitheachotherandtodo soreliablyandsecurely.Themainissuewithexistingskill exchangesisthattheyarenotbasedontrust,thereisnosafe way for people to pay, and there is no simple way of resolvingdisputes.

This platform addresses these issues by allowing users to payorbarterforprovidingagivenskill.Usersarealsoable topayfromanescrowaccountviaanescrow-basedpayment system.Thisway,theyareassuredthatthepaymentwillbe made under the conditions set before the service is rendered, thus reducing the chances that payment will be madeatallorthatsomeonewillcommitfraudintheprocess ofmakingapayment.

Thisplatformwillalsoprovidesignificantimprovementsin fairness through AI-assisted dispute resolution. AI-based disputeresolutionwillalsoreducethenumberofhandoffs thatwouldotherwisehavetotakeplaceifanindividualwere to seek a resolution to a dispute using a manual process. Otherhelpfulfeaturesarebuiltintotheplatform,including AI-basedskillmatching,chatandmeetingmodules,anduser progresstrackingforskilldevelopment.Theplatformisbuilt on several modern technologies, including React, Spring, Firebase, and Razorpay, which provide a scalable, responsive, and secure means of exchanging skills and

tracking their development. The platform has a modular architecture that provides the potential for additional functionality to be added in the future as technology advancesandtheneedsofusersandbusinesseschange.

REFERENCES

[1] HarshalSonawane,“LearnandLetLearn:AnIntelligent Peer-to-PeerSkillExchangePlatformforCollaborative Learning”,IRCRT,2025

[2] Rajanala Purushotham, “SkillTrade: A Website For LearningNewSkills”

[3] Ms M. Buvana (AP/IT), “XpertFlow Community Bases SkillTradePlatform”,IJRPR,2025

[4] M. Bhagya Meena Sri, “Peer-to-Peer Skills and KnowledgeExchangePlatform”,IJSREM,2025

[5] SrushtiJagnade,“AMobile-BasedSkillTradingPlatform forEnhancingPracticalSkillDevelopment”,IRJET,2026

[6] React Official Documentation. React – A JavaScript Library for Building User Interfaces. Available at: https://react.dev/

[7] Node.js Official Documentation. Node.js API Documentation. Available at: https://nodejs.org/en/docs