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Laravel POS Application
✅ Using Laravel 10 and MySQL Database
✅ 7 User Roles with Different Levels
✅ Include Approval Menu
✅ Extract Data as Excel and PDF
✅ Integration of Accounts Receivable and Accounts Payable Data
✅ Monthly Financial Report using FIFO Method
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Maurice’s Jewelers has served Miami since 1935.
Live Site Launching Early July
Current Live Site(s):
Pieces at Maurices
Get Your Pieces At Maurices
Nearly 90 years of family craftsmanship. Engagement rings, heirlooms, repairs, appraisals, gold buying, and the kind of customer trust that only a real local business can earn across generations.
For the Base44 #GiveItAGlow challenge, I wanted to give that legacy a digital experience worthy of the brand.
Before, too much of the business still depended on analog systems:
Inventory lived in spreadsheets. Appraisals relied on calculators, paper notes, and delayed callbacks. Custom design and heirloom documentation mostly started in person. 3,700+ products were difficult to organize, review, and act on quickly.
So I built Maurice’s Jewelers a complete digital operating system — not just a website.
The platform includes:
A live luxury storefront Three showroom modes A Diamond Room A custom Design Lab A Gemstone Vault Virtual Try-On Heirloom Passports Appointment booking Live gold appraisal intake An admin appraisal workflow And ARIA — an AI inventory advisor that helps review the full catalog and recommend what to restock, archive, or stop tracking.
The real value is in the automation.
A gold appraisal request that used to require a phone call and manual follow-up can now begin instantly online. Customers submit details, receive an estimate, and the lead lands directly in the owner’s review queue.
Inventory review also becomes faster. Instead of manually sorting through spreadsheet exports, ARIA turns thousands of products into clear business actions with explainable recommendations.
The project also supports Maurice’s branded retail presence through:
GET YOUR PIECES AT MAURICE’S™ PIECES AT MAURICE’S™
With live branded destinations:
That gives the business more than a storefront. It gives Maurice’s a modern customer experience, stronger digital brand infrastructure, better lead capture, and a platform the business can keep building on.
This is what small businesses need.
Not just a prettier homepage.
Leverage.
A way to save time. A way to serve customers better. A way to turn legacy trust into modern advantage.
Ninety years of craft. One digital renaissance.
Built on Base44 for Maurice’s Jewelers · Est. 1935.
#GiveItAGlow @Base44
How a Coffee Shop Chat Rebuilt a Bank’s Internal Operations ☕🏦
A few months ago, during a casual hangout at a local coffeeshop, a friend who working at a local community bank (BPR Indonesia) started venting about their operational headaches. They were still using paper logs to manage staff attendance across scattered branch offices. It was a massive time sink, prone to "buddy-punching" fraud, and a nightmare for compliance audits.
With today’s tech and AI capabilities, and also as a developer, I couldn't just sit back. I knew I could solve this. leverage intelligent, modern tech to solve this friction.
Finally 🧠, we ended up collaborating to solve that exact problem. I built a secure, enterprise-grade attendance system bridging a #Flutter mobile app, an #Express/PostgreSQL backend, and a real-time HR admin command center.
⚡ The Solution & Deliverables:
Amazing how a coffee chat led to such a practical solution—how's the transition from paper logs been for them so far?
RouteMind is a multi-tenant fleet management SaaS with live GPS tracking and an AI voice agent for operators. I built the full stack and the AI layer end to end.
The hardest part was the data architecture. Structured records like fleet profiles, driver data, and route history sit in MySQL. The high-frequency GPS event stream, which would choke a relational setup, runs through MongoDB instead. Vehicle positions render on a live map with latency low enough that movement feels real-time. That split is what kept the dashboard fast while thousands of GPS events landed every minute.
The AI layer is a voice agent built on a RAG pipeline and the OpenAI API. Operators call in, and the agent retrieves from a vector database of indexed fleet policies and route procedures before answering, never generic output. Questions outside its scope trigger a clean handoff to a human.
The platform is fully multi-tenant with strict data isolation between businesses. Roles and permissions are set from the dashboard, so onboarding a new operator needs no code change.
What the client gets: live fleet visibility, an AI agent that answers policy questions without tying up staff, and an architecture that holds up as the fleet grows.
Great work! my fyp was about Driver's behaviour analysis (dowsiness, distraction detection ) for fleet transportation system and generating alerts while danger is detected.
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