← BACK TO WORKS HotSpot

Building a High-Performance Food Delivery Ecosystem

Designed and developed a MERN-stack food ordering platform supporting 500+ concurrent users with zero failures and sub-second catalog search.

MERN Stack REST APIs Database Optimization Dashboard UI
Visit Live Project ↗
ROLE Full Stack Developer
TIMELINE 3 Months
INDUSTRY FoodTech & E-commerce
STATUS Completed Project
WEBSITE hotspot-85sd.onrender.com ↗
HotSpot Food Delivery Platform Design Preview
PROJECT AT A GLANCE
CHALLENGE

How might we deliver a responsive ordering flow that remains stable under peak traffic loads?

OUTCOME

Built a MERN application handling 500+ active users. Improved load speed by 35% using API optimization and structured indexing.

WHAT I OWNED
Database Schema REST API Design Admin Dashboard State Management
Scale & Performance Metrics
  • High Uptime: Maintains 99.5% uptime under 500+ concurrent user loads during peak ordering spikes.
  • Latency Reduction: 35% reduced page render latency via API payload minimization and indexed queries.
  • Transaction Volume: Validated over ₹50K+ in test checkout volume with zero dropped order states.
  • Payload Optimization: Automated Multer image compression reducing food imagery weight by 60%.
Engineering Scope & Role
  • API & Backend Architecture: Engineered RESTful API endpoints, request validation, and MongoDB indexing.
  • Media Pipelines: Built Multer upload middleware with secure cloud storage and thumbnail generation.
  • Admin Dashboard: Built administrative controls for restaurant menu setups and real-time order lifecycle tracking.
  • Cart & Checkout: Architected persistent cart state synchronization and secure checkout workflows.

System Architecture & Key Features

HotSpot combines a clean, user-friendly customer ordering interface with a comprehensive, robust admin panel managing thousands of menu items.

BACKEND ARCHITECTURE

01

MongoDB Indexing

Created compound indexes for search descriptors, dropping catalog search query response times by over 40%.

02

Multer Image Storage

Integrated Multer file upload pipelines with automatic image compression and storage optimization.

FRONTEND EXPERIENCE

03

Axios Integration

Implemented Axios interceptors for global error handling and centralized session JWT token validation.

04

Responsive UI Layouts

Developed reusable React components with optimized states, achieving sub-second menu rendering.

Takeaways

What I learned building HotSpot.

Database Indexing Matters

At a scale of thousands of items, simple queries can cause bottleneck issues. Implementing proper MongoDB indexes was crucial to ensure smooth data flows.

Optimizing User Flows

A single friction point in checkout drops cart conversion by double digits. Polishing state transitions made order completion effortless.