DzairAI
DzairAI was developed as both a startup initiative and a group module project. It focuses on building structured visibility for AI experts, organizations, events, datasets, and opportunities through a full-stack platform with strong product flows and documentation.
About This Project
Fragmented visibility of Algerian AI actors made it hard to discover people, initiatives, and practical collaboration opportunities in one place.
Implemented a Next.js + Supabase platform with typed API routes, search, onboarding, bookmarks, collaboration requests, and structured entity workflows.
Created a scalable ecosystem hub that supports discovery and account-backed participation, with clear contributor and operations documentation.
Full-stack Developer
2026
Public
University
Technology Stack
Project Story
Fragmented visibility of Algerian AI actors made it hard to discover people, initiatives, and practical collaboration opportunities in one place.
Implemented a Next.js + Supabase platform with typed API routes, search, onboarding, bookmarks, collaboration requests, and structured entity workflows.
Created a scalable ecosystem hub that supports discovery and account-backed participation, with clear contributor and operations documentation.
Insights & Takeaways
Highlights
- Product spans public discovery and authenticated user workflows.
- Solid technical docs and runbooks support team collaboration and maintenance.
Challenges
- Designing consistent domain models across multiple entity types and product surfaces.
- Preserving UX simplicity while supporting real filters, account state, and API-backed interactions.
Lessons Learned
- Ecosystem products need both strong information architecture and disciplined backend contracts.
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