Projects using PostgreSQL in SindhProjects using PostgreSQL in Sindh
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Cover image for EstateFlow is a full-stack real
EstateFlow is a full-stack real estate platform built with Next.js, Prisma ORM, and PostgreSQL. Designed for seamless property discovery across major cities in Pakistan, it features custom location filtering, automated email workflows for user leads and inquiry management, and an intuitive UI focused on performance. Full-stack real estate management web application engineered for browsing verified property listings with fast search, automated workflows, and dynamic filtering. Frontend: Next.js & Tailwind CSS for modern, responsive UI design Backend & Database: Prisma ORM with relational database schema for optimized routing and data management Automation: Integrated email notification pipelines for real-time buyer inquiries and updates Features: Multi-city listings search, dynamic property cards, theme switching, and automated lead handling
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Cover image for Building a full-stack Healthcare &
Building a full-stack Healthcare & Doctor Appointment mobile app a complete patient management platform for clinics and hospitals. Key Features: Doctor profiles with specialization details Appointment booking & rescheduling system Medical Specialties browsing (Cardiology, Orthopedics, Pediatrics & more) Real-time Health Overview dashboard: → Blood Pressure monitoring → Heart Rate tracking → Body Temperature display Patient records management Bottom navigation (Home, Appointments, Records, Profile, Doctors) Clean mobile-first UI with card-based layout Tech Stack: React Native · Node.js · Supabase · PostgreSQL · REST API · JWT Authentication Use Case: Built for hospitals, private clinics, and healthcare startups who need a modern digital platform for patient-doctor interaction and health monitoring. Status: Currently in development — production release coming soon! Need a healthcare app or medical platform for your business? Let's connect!
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Cover image for QueryMind lets you query a
QueryMind lets you query a real database using plain English. Type a question, get an answer — no SQL knowledge needed. Built a production-grade AI agent using LangGraph that converts natural language to SQL, executes it on a real PostgreSQL database with 100,000+ rows, and automatically corrects errors in a retry loop if the query fails. Key features: 7-node LangGraph agent with conditional routing and self-correction pgvector semantic search for intelligent schema retrieval Full observability dashboard with real-time metrics and query history Trace replay — see every step the agent took to answer your question Deployed live: Next.js frontend on Vercel, FastAPI backend on Render Tech: LangGraph · Groq LLaMA 3.3 70B · PostgreSQL · pgvector · FastAPI · Next.js · Tailwind CSS Github: https://github.com/moiz-mansoori/QueryMind-NL2SQL-Agent-System
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Cover image for Built a full-stack HRMS in
Built a full-stack HRMS in under 2 weeks as a side project to dive deeper into Python and backend development! Features so far: Employee management with role-based access (Admin / HR / Employee) Leave request workflow with approval/rejection Attendance tracking — clock in/out, monthly calendar view Payroll engine — tax brackets, overtime, pro-rated salary, PDF payslip download Notifications, search, pagination, CSV exports Dockerized and deployed Stack: Next.js · TypeScript · Tailwind · FastAPI · PostgreSQL · SQLAlchemy The backend was a new challenge for me: SQLAlchemy relationships, Alembic migrations, Decimal precision for payroll calculations, streaming PDF responses — all of it was tricky at first, but I’ve learned a lot along the way. URL: https://lnkd.in/dRg86PtQ (https://lnkd.in/dRg86PtQ)This is just the beginning! I plan to add many more features.
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