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Talha Shaikh.
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Case study

Bait-ul-Kutub LMS

A modern full-stack LMS managing catalogs, member tiers, reservation queues, and loan tracking with an integrated AI natural-language discovery engine.

Next.jsTypeScriptPrisma ORMPostgreSQLOpenAI APITailwind CSS
🔒bait-ul-kutub.vercel.app
Production
Bait-ul-Kutub LMS live web preview

Engineering highlights

  • Modeled relational database architecture in PostgreSQL via Prisma with real-time inventory tracking and loan lifecycle management.
  • Integrated OpenAI semantic search enabling natural language book queries and contextual recommendations.
  • Engineered responsive member dashboards with loan history, active due dates, and fine calculation engine.