Backend Development Projects in Lahore
Backend Development Projects in Lahore
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Sayyid Ali Sajjad Rizavi
From Fax to Brightree: Patient Intake for Healthcare Teams
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13
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5
Abubakar Chan
pro
Flyyt Time | Elevate your aviation career
5
103
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Toolshed (Data, Automation, AI Agents, Buildship, Framer)
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QueenRX Business Workflow Automation & Internal Tooling
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27
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Haris M.
pro
Northward Capital Investment Platform Development
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21
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Abdul Razaq Ali
pro
Lyrics Star is an interactive mobile app I developed for both game and backend, designed to help users of all ages especially music lovers learn their favorite songs by tapping along to lyrics tiles while the music plays. Built to make music appreciation fun and accessible, it turns passive listening into an active, engaging literacy experience for kids and music enthusiasts alike. 🔹 Key Highlights: ✔️ Lyrics Tile Gameplay – Tap-to-interact mechanics synced with real-time song playback. ✔️ Vibrant, Intuitive UI – Designed to appeal to kids and music enthusiasts alike. ✔️ Full-Stack Development – End-to-end game and backend architecture built for smooth, seamless play. ✔️ Ad Mediation & Monetization – Integrated systems to sustainably monetize gameplay. ✔️ Cross-Platform Reach – Live on both Google Play and the Apple App Store. ✔️ Continuous Improvement – Ongoing feature development and bug fixes post-launch. 🌟 Impact: Since launch, Lyrics Star has achieved over 100,000 downloads across the Google Play Store and Apple App Store within just a few months. The strong user reception has reinforced a commitment to continuous refinement, with new features and improvements actively rolled out to enhance the experience. By blending music, gameplay, and interactivity, Lyrics Star stands out as a fun, effective tool for boosting music appreciation and literacy among young audiences.
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266
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Noman Iqbal
pro
Rider Guider | Voice-Controlled Horse Riding Lessons App
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13
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1
Salman Maqbool
Admin Panel for ISP & User Management
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34
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Saud Saleem
pro
Anchor Down - Transport & Logistics Platform
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17
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Zyvor Tech
ChatTeach | Student & Teacher Learning Marketplace Mobile App
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2
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Saif Ullah Mushtaq
pro
Xales - AI Voice Agent Development
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7
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Abdullah Shah
pro
In this project I wrote the AI strategy where people can search for any item allowed in the ESA Handbook, create compliant curriculum and ask to AI as well.
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95
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Hunzla Hussain
pro
Built Nearcut a full SaaS platform trusted by 6,500+ barbers across the UK. The system handles online booking, branded barber websites, automated cancellation filling, no-show payment protection, Google review automation, and custom App Store apps per business. Delivered end-to-end using Next.js and Node.js with a CMS backend, scheduling API, payment integration, and automated notification system. Live product serving thousands of real users with 2,000+ weekly appointments managed on a single account.
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72
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Muhammad Issa Umer
pro
Altamar Charters, Spanish-First Yacht Charter Site
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9
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Saraj Menghwar
Deployed the MindMesh full-stack app to a production-ready environment. I provisioned a secure Ubuntu 24.04 LTS server on DigitalOcean and used Docker to containerize the Node.js backend, React frontend, and PostgreSQL database. For routing, I configured an Nginx reverse proxy and managed DNS via Name.com (http://Name.com) to connect the custom domain. Finally, I implemented email authentication (DKIM, DMARC) for reliable delivery. This showcases my DevOps expertise in transforming local code into a highly secure, scalable, and live architecture.
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54
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Tajammal Hameed
pro
TWT Neighborhood (Real Estate) Platform
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1
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Arslan Mehmood
⚖️ Built a French Legal AI Assistant powered by advanced RAG and LLM technology. The system enables users to ask complex legal questions and receive accurate, context-aware answers grounded in French legal documents. Key features include: 🔹 Custom legal document ingestion and chunking 🔹 Metadata-based vector search 🔹 Hybrid retrieval and reranking 🔹 Agentic RAG workflows using LangGraph 🔹 Source-grounded answers with legal references 🔹 Private deployment on an Azure VM using locally hosted LLMs The main focus was improving retrieval accuracy, reducing hallucinations, and making large collections of legal documents easier to search and understand. #LegalAI #RAG #LLM #ArtificialIntelligence #LangGraph #Azure #GenerativeAI #MachineLearning
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