Nibras is an educational platform organization focused on computer science learning, competitive programming, project-based development, and AI-assisted guidance.

Nibras is a unified platform designed to reduce fragmentation across academic coursework, coding practice, project work, and analytics. The platform focuses on:

• course learning and progress tracking
• competitive programming activity and performance monitoring
• community discussion and peer support
• achievements, reputation, and gamified engagement
• AI tutoring and specialization recommendations
• analytics for students, instructors, and administrators

• nibras-student-dashboard: student-facing experience for courses, competitions, community, achievements, and AI tutor workflows
• nibras-admin-service: backend services for authentication, RBAC, core APIs, and administrative workflows
• Community-System: discussion, comments, voting, and reputation features
• Recommendation_model: machine learning recommendation engine for specialization guidance
• Documents: project reports, diagrams, requirements, and delivery artifacts

• Frontend: React and dashboard-style web interfaces
• Backend: Node.js, Express, REST APIs, authentication, and role-based access control
• Data: MongoDB and application analytics models
• AI/ML: recommendation pipelines, model evaluation, and AI-assisted explanations

We prefer changes that are small, testable, and documented. If you contribute to this org:

• open an issue before large feature work
• keep pull requests scoped to one problem
• update docs when behavior or interfaces change
• treat security, privacy, and student data carefully
• document assumptions for AI- or analytics-related changes

See the shared org files for defaults:

• CONTRIBUTING.md
• SECURITY.md
• SUPPORT.md

Build a practical, scalable learning platform that helps computer science students measure progress, identify skill gaps early, and receive useful guidance based on real work, not only grades.