~/projects/quickbyte
QuickByte
[COMPLETED]TIMELINE
Sept 2024 - Jan 2025
ROLE
Lead Full-Stack Developer
TEAM
Solo Project
CATEGORY
AI & Machine Learning
// OVERVIEW
QuickByte is a full-stack, AI-powered food ordering platform designed for campus areas and quick-service hubs. By leveraging Next.js on the frontend and Gemini LLMs, it suggests personalized meal options based on dietary preferences and past orders. It integrates instant QR code table checkout and secure UPI payments.
- Real-time Order Status Tracking
- Gemini Personalization Engine
- QR Code Instant Tables Checkout
- UPI Native Integration
// FEATURES
01/ AI Smart Recommendations
- Intelligent Dietary Profiling: Profiles flavor notes and user diets to recommend optimal meals.
- Time-of-day Menu Highlights: Dynamically surface breakfast, lunch, or late-night bites based on active hours.
02/ Checkout & Payments
- QR Code Quick Table Order: Bypass queues by scanning a table QR code to dispatch tickets directly to the kitchen.
- Seamless UPI Gateway: Direct transaction validation within the client interface.
// INSTALLATION
Setup & Run Dev
$ git clone https://github.com/MrHyperIon101/quickb-main.git$ cd quickb-main$ npm install$ npm run dev
// CHALLENGES & SOLUTIONS
PROBLEM
Handling high-concurrency order placement and kitchen ticket sync
SOLUTION
Implemented PostgreSQL transactional locks alongside WebSockets to push state updates instantly without polling latency.
// STACK
Artificial Intelligence (AI)ReactNext.jsTypeScriptFood TechnologyUPI PaymentTailwind CSSVS CodeGitHubFigmaPostgreSQL