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Built DineX – A food delivery system, not just another CRUD app, but with intelligent backend logic.
Key highlights:
• Dijkstra's algorithm for optimized delivery route calculation
• Implemented AVL trees for efficient order/inventory management
• Backend: Built using Python & Flask
Focused on real DSA application in practical real world use case instead of just following tutorial. Accelerating food delivery is not only a UI thing. It’s about smart routing and data structures behind the scenes. Would love to hear fellow dev thoughts!
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🚚 Bourter Two Apps. One Complete Transport Platform.
I’m excited to showcase Bourter, a logistics and vehicle transportation platform designed with separate experiences for customers and drivers.
📱 Customer App
• Easy transportation booking
• Multiple vehicle categories
• Pickup & drop-off locations
• Real-time order tracking
• Order management
🚛 Driver App
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• Manage earnings and completed orders
• Dedicated driver workflow
The platform supports cars, vans, trucks, heavy loads, car carriers, towing, and other transportation services.
From UI/UX design and Flutter mobile development to backend integration and app deployment, this project was built to deliver a smooth experience for both customers and drivers.
Building a logistics, delivery, ride-hailing, or marketplace app? Let’s turn your idea into a production-ready product.
#Flutter #MobileAppDevelopment #LogisticsApp #TransportationApp #DriverApp #UIUXDesign #AppDevelopment #FlutterDeveloper #SoftwareDevelopment #Contra
Redesigned Linea's home screen. The bit i care about most is the signals panel, the system watches every run and flags anything that looks wrong: "hallucination suspected", "tool error", last seen, how often. you catch it before a user does.
Each execution shows its cost. the support assistant's about a cent a run. Second shot is the canvas where the flows get built.
Is the home page enough at a glance, or would you pull executions higher?
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🚀 RestoBarApp — Cloud POS & Multi-Tenant Hospitality Management SaaS
Architected and deployed a full production B2B SaaS platform for restaurants, bars, and hospitality businesses with active daily operations and paying subscribers.
Key Engineering & Product Highlights:
• Integrated AI Operations Assistant: In-app conversational assistant powered by Google Gemini API, allowing restaurant managers to query sales velocity, stock anomalies, and daily operational metrics in real-time.
• Granular Inventory Engine: Real-time ingredient tracking down to the gram/milliliter linked directly to recipe consumption upon checkout.
• Real-Time Kitchen Sync: Bi-directional WebSocket events keeping order queues synchronized across multiple kitchen stations with zero page reloads.
• Multi-Branch & Multi-Tenant: Robust tenant data isolation, custom role-based permissions (Cashier, Waiter, Kitchen, Admin), and multi-location management.
• Automated Invoicing & Thermal Printing: Seamless thermal POS receipt generation and automated billing lifecycle management.
🛠 Tech Stack:
Node.js • Express • MongoDB • Real-time WebSockets • Google Gemini API • TailwindCSS • Google Cloud Platform (GCP)
🔗 Live Platform: https://app.restobarapp.com
saasnodejsfullstackFull Stack DevelopmentBackend DevelopmentSoftware ArchitectureGoogle Cloud PlatformMongoDBNode.js
Great work 👍🏻