SkillXchange Platform ER Diagram

GENERALEradvanced
SkillXchange Platform ER Diagram — GENERAL er diagram

About This Architecture

SkillXchange Platform ER diagram models a peer-to-peer skill marketplace with user profiles, skill inventories, learning requests, and real-time matching. The schema connects Users to Skills via UserSkill junction tables, tracks skill verification and embeddings for semantic search, and manages learning matches with quiz assessments and messaging. This architecture demonstrates how to design a two-sided marketplace with trust mechanisms (verification, ratings), async communication (Ably real-time), and AI-powered skill discovery (NLP embeddings). Fork this diagram to customize for your skill-exchange, mentorship, or talent-sharing platform, then export as .drawio or .svg for documentation. The design separates concerns across user management, skill taxonomy, matching logic, and communication layers—ideal for startups scaling peer-to-peer learning networks.

People also ask

How do I design a database schema for a peer-to-peer skill marketplace with matching, verification, and real-time messaging?

The SkillXchange ER diagram shows a complete schema with User and Skill entities linked via UserSkill, SkillVerification for trust, SkillEmbedding for semantic search, LearningRequest and LearningMatch for pairing learners and teachers, Quiz and QuizAttempt for assessments, Message and MessageAttachment for Ably-powered chat, and Rating for feedback. This structure supports two-sided discovery, tr

ER diagramdatabase schemapeer-to-peer marketplaceDjangoReactskill exchange
Domain:
Software Architecture
Audience:
Full-stack engineers building peer-to-peer skill-exchange platforms

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About This Architecture

SkillXchange Platform ER diagram models a peer-to-peer skill marketplace with user profiles, skill inventories, learning requests, and real-time matching. The schema connects Users to Skills via UserSkill junction tables, tracks skill verification and embeddings for semantic search, and manages learning matches with quiz assessments and messaging. This architecture demonstrates how to design a two-sided marketplace with trust mechanisms (verification, ratings), async communication (Ably real-time), and AI-powered skill discovery (NLP embeddings). Fork this diagram to customize for your skill-exchange, mentorship, or talent-sharing platform, then export as .drawio or .svg for documentation. The design separates concerns across user management, skill taxonomy, matching logic, and communication layers—ideal for startups scaling peer-to-peer learning networks.

People also ask

How do I design a database schema for a peer-to-peer skill marketplace with matching, verification, and real-time messaging?

The SkillXchange ER diagram shows a complete schema with User and Skill entities linked via UserSkill, SkillVerification for trust, SkillEmbedding for semantic search, LearningRequest and LearningMatch for pairing learners and teachers, Quiz and QuizAttempt for assessments, Message and MessageAttachment for Ably-powered chat, and Rating for feedback. This structure supports two-sided discovery, tr

SkillXchange Platform ER Diagram

AutoadvancedER diagramdatabase schemapeer-to-peer marketplaceDjangoReactskill exchange
Domain: Software ArchitectureAudience: Full-stack engineers building peer-to-peer skill-exchange platforms
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Created by

April 29, 2026

Updated

April 29, 2026 at 9:16 AM

Type

er

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