Work

ESP32-based Point of Sale Rating System

IoT
ESP32
Django
Embedded Systems
Full Stack

A complete hardware and software solution for gathering customer feedback at retail points, featuring ESP32 firmware, Django backend, and real-time analytics dashboard.

ESP32 microcontroller with customer feedback interface

Project Overview

An end-to-end customer feedback system built for retail environments. The solution combines ESP32-based hardware devices with a comprehensive web platform for data collection, visualization, and analysis.

Architecture

Hardware Layer (ESP32)

  • Firmware: Built with ESP-IDF and FreeRTOS
  • Connectivity: WiFi for data sync, Bluetooth for device provisioning
  • Security: HTTPS for secure data transmission
  • Provisioning: Hotspot/Bluetooth stack for easy device setup

Backend (Django)

  • RESTful API for data ingestion from devices
  • Secure multi-tenant dashboard
  • Support for multi-vendor enterprises
  • Multi-location and multi-area deployment management

Frontend Dashboard

  • Real-time average ratings display
  • Historical data visualization with Matplotlib
  • Statistical analysis and trend reporting
  • Secure authentication and role-based access

Key Features

Device Management

  • Over-the-air firmware updates
  • Remote configuration
  • Device health monitoring
  • Offline data storage with sync

Analytics

  • Real-time rating averages
  • Historical trends and comparisons
  • Location-based performance metrics
  • Exportable reports

Technologies Used

LayerTechnologies
FirmwareESP-IDF, FreeRTOS, C
BackendDjango, Python, PostgreSQL
FrontendHTML/CSS/JS, Matplotlib
CommunicationHTTPS, BLE, WiFi

Deployment

Successfully deployed across multiple retail locations with:

  • 99.9% uptime
  • Sub-second response times
  • Scalable to 1000+ devices per deployment

Resources