Assemble: A Scalable Interest-Driven Social Media Platform For Real-Time Collaboration, Personalization, And Community Co-Creation

15 Nov

Authors: Karan Rohit, Kush Patel, Kaval Rathod, Amba Parmar, Prof. Ami Shah

Abstract: Social media platforms have transformed how peo- ple communicate, collaborate, and share ideas, yet their primary focus remains entertainment-driven consumption rather than purposeful collaboration. Existing solutions like Reddit and Discord enable interest-driven discussions but lack integrated tools for real-time content co-creation. Similarly, productivity suites like Google Docs support synchronous editing but offer limited opportunities for community engagement and discovery. This paper presents Assemble, a next-generation mobile-first platform built to support structured collaboration through three key innovations: (1) a hybrid recommendation system leveraging user embeddings and interaction graphs for personalized group and content discovery, (2) a CRDT-based real-time collaboration engine enabling offline editing with seamless synchronization, and (3) a gamification framework incentivizing meaningful partici- pation. Assemble integrates scalable cloud-based microservices, distributed caching, and security-focused authentication systems, making it capable of supporting large-scale user bases. We provide a detailed technical breakdown of Assemble’s architecture, algorithms, and pilot evaluation. A four-week user study with 20 participants showed measurable improvements: Precision@10 increased from 0.52 to 0.78, group setup time decreased by 42%, and engagement improved by 35%. We also explore algorithmic fairness, ethical implications, and scalability considerations. Assemble demonstrates that social platforms can evolve beyond entertainment to become hubs for innovation and co-creation.

DOI: https://doi.org/10.5281/zenodo.17614541