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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60596

Tech Tribe

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60596

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60596

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

GV

Gayathri V1

VBB

Venya Bala B2

SN

Sivadharshini N3

SS

Santhosh S4

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Abstract

TechTribe is a domain-based networking platform designed to enhance knowledge sharing, collaboration and interaction among users within specific areas of interest. In the current digital landscape, traditional social and discussion platforms often present unstructured and irrelevant content, making it difficult for users to access domain-specific information efficiently. TechTribe addresses this limitation by introducing a structured environment where users can join or create domains, enabling focused discussions and meaningful engagement within their chosen fields. This study presents the design, development and evaluation of TechTribe, emphasizing its ability to provide personalized content delivery, seamless multi-domain participation and community-driven moderation. The system is developed using modern web technologies, with a scalable architecture that supports efficient data processing and real-time interaction. It enables users to create posts, share knowledge, explore domain-specific feeds and interact with other members, thereby fostering peer-to-peer learning. A dynamic domain-switching mechanism allows users to explore multiple areas of interest without creating separate accounts, while a decentralized moderation system ensures content quality by allowing users to report and control irrelevant or inappropriate posts. Furthermore, the platform focuses on usability, performance and security by incorporating efficient backend services, structured database management and responsive user interfaces. Experimental evaluation demonstrates improved user engagement, relevance of content and overall efficiency in knowledge retrieval compared to existing generalized platforms. The modular design of the system also supports future enhancements such as AI-based recommendation systems, real-time messaging and advanced analytics. TechTribe represents a scalable and efficient solution for domain-focused networking, contributing to improved collaborative learning and structured digital interaction.

KEYWORDS

Domain-based networking Knowledge sharing Community platform Personalized content Web application Collaborative learning Content moderation.

Cite This Article

Gayathri V1, Venya Bala B2, Sivadharshini N3, Santhosh S4, "Tech Tribe," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60596

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Publication Date

4/17/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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