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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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🚀 Kicking off my submission for the Base44 × Contra #GiveItAGlow Challenge!
I'm redesigning the website and customer experience for a local restaurant here in Ontario, with the goal of creating automations that actually helps the business grow.
The plan is to build:
✨ A premium, mobile-friendly website
🤖 AI-powered customer concierge
📅 Reservation and catering automations
📈 Tools that save the owner time and improve the customer experience
I just reached out to the business today and shared the first design direction. 🤞
👀 You can check out the first pass here:
https://choun-kitchen-collective.base44.app/
I'm now waiting to hear back from the owner so wish me luck!
I'm excited to document the entire process from concept to launch! Stay tuned for behind-the-scenes updates, design iterations, automations, and the full before-and-after transformation 😊
Reaching out to a real restaurant owner instead of just designing in a vacuum is the part most people skip in these challenges. The AI concierge and reservation automations sound like the trickiest part to get right without annoying regular customers, how are you thinking about...
11k followers, beautiful pastries, and 4.5 hours wasted in DMs daily. Here is how I fixed a local bakery's operations in 3 hours. 🥐✨
For the #GiveItAGlow challenge, I wanted to find a business where design could solve a real operational bottleneck. I chose "Holidays treat" — a visually stunning local bakery in Thailand.
The Problem:
Visually, their brand is flawless. Digitally, it was a nightmare. Every single custom cake order, tart reservation, and FAQ was handled manually through Instagram DMs. The owner was losing over 4.5 hours a day just typing out the same allergen information and stock updates.
The Process (How it was built):
Using Base44, I went from a blank canvas to a fully functioning digital ecosystem in exactly 3 hours. Here is the exact breakdown of the build:
Phase 1: The Figma Benchmark & Asset Generation
Every high-end product starts with strict visual discipline. Before touching the builder, I opened Figma to define the rules of "quiet luxury" for this brand. I established a rigorous grid, editorial typography, and terracotta accents. I used Midjourney to generate high-end asset concepts to set the perfect mood. I didn't design every screen—I designed one flawless Root Index to serve as my absolute source of truth.
Phase 2: Architectural Foundation
Inside Base44, I prioritized architecture over aesthetics. My initial prompts focused purely on database generation and routing. Within minutes, the AI spun up the core infrastructure: a Products database, an Orders table, and dynamic routing for the entire B2C catalog.
Phase 3: The Design Translation
This is where I am usually skeptical of builders, but Base44 delivered. I fed my Figma benchmark into the Base44 agent and instructed it to overwrite the global design system. It adopted my strict visual parameters and replicated them across the entire app with 100% accuracy. When we hit minor component bugs, like routing issues in the Global Header, I used precise system directives to re-bind the events without touching the code.
Phase 4: Automation Depth & State Management
A beautiful site means nothing if the business operations are still manual.
The Backend:
I built a B2B Kitchen Dashboard with a live Kanban board tied directly to the front-end checkout.
The CMS:
I converted static footer galleries into dynamic databases so the owners can update their digital storefront seamlessly.
The Superagent:
I integrated a 24/7 AI Superagent and wired it directly to the live inventory database. It now handles all FAQs, consults on bespoke cakes, and routes users to checkout. To ensure a seamless UX, I prompted the system to utilize a Global Session State, ensuring cart persistence across all page navigations.
The Verdict on Base44:
As a UI/UX Designer who is fiercely protective of visual layouts, my stack has strictly been Figma and Framer. But building this project completely shifted my perspective. Base44 is the first platform I’ve used that handles deep backend logic and AI automations without sacrificing an inch of front-end aesthetic control. It is officially part of my permanent freelance toolkit.
The Handoff:
I handed the fully live ecosystem over to the bakery—no setup fees, no friction. Just real utility.
Watch the full Before/After transformation and my process breakdown
Demo: https://holiday-treat-studio.base44.app
Figma (all step): https://www.figma.com/design/8uKK1dv5q5jX5O3pSFkSxQ/Challenge-base44?node-id=0-1&t=BXoMyOdu87ld3IyX-1
Before in comment. Base44 you BEST!!! Realy.
Great work for a 3-hour build. Quick question about the checkout how do customers actually pay for their orders? Is there an easy, built-in way to connect local payment methods through the platform?
For the Base44 Give It A Glow Challenge, I wanted to explore what happens when a local café experience is designed as an interconnected digital ecosystem rather than just a restaurant website.
Dunes Cafe combines customer ordering, event booking, AI-assisted support, and business analytics into a single experience built entirely in Base44.
The customer-facing platform includes menu browsing, food ordering, table reservations, event enquiries, location services, and an AI assistant capable of handling common questions and guiding visitors through the ordering process.
Behind the scenes, every booking and order feeds directly into an owner dashboard designed for day-to-day operations. The dashboard provides booking calendars, order logs, AI-generated customer feedback summaries, and weekly business metrics that help transform activity into actionable insights.
The WhatsApp workflow includes:
• Pre-filled greeting messages to reduce friction and start conversations instantly. • Automated routing based on customer intent such as Food Orders, Live Events, Party Bookings, or General Enquiries. • Queue management using first-come-first-served logic for event and booking requests. • Context-aware responses that reduce repetitive owner interactions for common questions. • Automatic capture of customer requests and booking information into the operational database.
The automation layer ensures that customer interactions do not disappear into chat history. Every enquiry, order, and booking becomes structured operational data that feeds directly into the owner dashboard.
This creates a continuous information loop:
Customer Message → Intent Detection → Automated Routing → Order or Booking Creation → Owner Dashboard Analytics
Rather than functioning purely as customer support, WhatsApp becomes a transaction channel, a booking assistant, and a data collection layer for business intelligence.
For many small businesses, conversational commerce is already happening informally through messaging applications. Dunes Cafe explores what happens when those conversations become structured workflows powered by AI and automation.
Built with Base44 for the Give It A Glow Challenge.
Prompt descriptions are given below in Comments.
#Base44 #GiveItAGlow #Contra #BuildInPublic #AI #HospitalityTech #NoCode #ProductDesign #UXDesign
Hi Pallab - don't forget to include a link to the business' existing online presence so that the judges can see the glow up
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