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Paper ID:IJSREM62982

UniTrade

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62982

Volume:

10 |

5 |

May 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62982

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SK

Shwet Kashyap

Department of Computer Science and Engineering

Bhagwan Parshuram Institute of Technology

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HR

Hans Raj

Department of Computer Science and Engineering

Bhagwan Parshuram Institute of Technology

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SK

Sahil Kumar

Department of Computer Science and Engineering

Bhagwan Parshuram Institute of Technology

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Mentors

DK

Dinesh Kumar

Department of Computer Science and Engineering

Bhagwan Parshuram Institute of Technology

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Abstract

The informal exchange of academic resources among university students — textbooks, laboratory equipment, engineering tools, and course notes — is a near-universal phenomenon that remains poorly served by general-purpose social media platforms. The fragmentation of this commerce across disparate, unmoderated channels introduces friction, security risks, and significant inefficiency for both buyers and sellers. This paper presents UniTrade, a purpose-built, peer-to-peer (P2P) campus marketplace developed using React Native (Expo SDK 54) and Google Firebase Firestore. The system addresses the fragmentation problem through a structured, category-driven listing interface, a real-time notification subsystem, a dedicated student Request Board, and server-side Firestore Security Rules that enforce data ownership at the database level. A key architectural contribution is the implementation of client-side User Exclusion logic that prevents sellers from encountering their own listings in the marketplace feed, thereby improving the signal-to-noise ratio for all users. The paper details the system architecture, implementation choices, security model, and the social impact of facilitating sustainable, circular consumption of academic goods within the campus ecosystem. Future work directions, including in-app messaging and machine-learning-driven price recommendation, are also discussed.

KEYWORDS

Keywords: Peer-to-Peer Commerce Mobile Computing React Native Firebase Firestore Real-Time Database Campus Marketplace NoSQL Human-Computer Interaction Circular Economy Expo SDK

Cite This Article

Shwet Kashyap, Hans Raj, Sahil Kumar, Dinesh Kumar, "UniTrade," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-9, May 2026. https://doi.org/10.55041/IJSREM62982

Full Article/Conclusion

This paper has presented UniTrade, a peer-to-peer campus marketplace application designed to address the fragmentation of academic resource trading among university students. The system is implemented as a cross-platform mobile application using React Native (Expo SDK 54) and Google Firebase Firestore, and incorporates a real-time notification subsystem, a category-driven listing marketplace with User Exclusion logic, a student Request Board, and server-side Firestore Security Rules that enforce data ownership at the database layer. The architectural contributions of this work — particularly the User Exclusion filter, the demand-broadcasting Request Board, and the client-side notification persistence model — collectively address user experience requirements that are not satisfied by the general-purpose platforms currently used for campus commerce. The server-side security model ensures that data integrity guarantees cannot be circumvented by client-side manipulation, providing a trust foundation appropriate for a community-scoped marketplace. Future work will focus on three primary directions. First, the integration of Firebase Cloud Storage and a camera-enabled image upload flow in the SellItem screen will allow sellers to post photographs of the specific item being offered, enabling buyers to assess condition prior to initiating contact. Second, the development of an in-app real-time chat feature — potentially built on Firestore's document listener model — will eliminate the requirement to exchange personal telephone numbers as a prerequisite for negotiation, reducing the platform's trust barrier for new users. Third, the application of collaborative filtering or content-based recommendation algorithms to the listing feed — informed by a user's browsing history and category preferences — will improve the relevance of the default marketplace view as the listing volume scales beyond the capacity of manual browsing. UniTrade demonstrates that domain-specific, mobile-first marketplace applications can materially improve the efficiency, security, and sustainability of P2P commerce within bounded communities. The architectural patterns described in this paper — real-time listener-based state synchronization, server-enforced data ownership, and client-side relevance filtering — are generalizable to analogous community marketplace contexts beyond the campus environment.

References

[1] K. Vitez, Exposing the Textbook Industry. U.S. Public Interest Research Group (PIRG), 2022. Available: https://pirg.org/michigan/resources/exposing-the-textbook-industry/ [2] Florida Virtual Campus, Student Textbook and Instructional Materials Survey: Results and Findings. Office of Distance Learning and Student Services, 2022. Available: https://www.flbog.edu/wp-content/uploads/2023/03/Student-Textbook-Survey-Infographic.pdf [3] H. Saarijärvi, J. Joensuu, T. Rintamäki, and M. Yrjölä, “One person’s trash is another person’s treasure: Profiling consumer-to-consumer e-commerce in Facebook,” International Journal of Retail & Distribution Management, vol. 46, no. 11/12, pp. 1092–1107, 2018. doi:10.1108/IJRDM-04-2017-0091 [4] P. Garg, B. Yadav, S. Gupta, and B. Gupta, “Performance Analysis and Optimization of Cross Platform Application Development Using React Native,” in ICTCS 2022, Lecture Notes in Networks and Systems, vol. 615, Springer, Singapore, 2023. doi:10.1007/978-981-19-9304-6_51 [5] B. Suri, S. Taneja, I. Bhanot, H. Sharma, and A. Raj, “Cross-Platform Empirical Analysis of Mobile Application Development Frameworks: Kotlin, React Native and Flutter,” in ICIMMI 2022, ACM, New York, 2022. doi:10.1145/3590837.3590897 [6] Meta Open Source, React Native New Architecture, 2022. Available: https://reactnative.dev/docs/the-new-architecture/landing-page [7] J. Shute et al., “Firestore: The NoSQL Serverless Database for the Application Developer,” Google Research, 2023. Available: https://research.google/pubs/firestore-the-nosql-serverless-database-for-the-application-developer/ [8] A. Nambiar and D. Mundra, “Comparison between Relational and NoSQL Databases,” ResearchGate, 2022. Available: https://www.researchgate.net/publication/349427122_Comparison_between_Relational_and_NoSQL_Databases Also see: A. Makris et al., “A Classification of NoSQL Data Stores Based on Key Design Characteristics,” Procedia Computer Science, vol. 151, pp. 289–296, 2021. [9] Google LLC, Cloud Firestore — Real-time Updates with Snapshots, Firebase Documentation, 2024. Available: https://firebase.google.com/docs/firestore/query-data/listen [10] Google LLC, Get Started with Cloud Firestore Security Rules, Firebase Documentation, 2024. Available: https://firebase.google.com/docs/firestore/security/get-started

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Publication Date

5/9/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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