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Serverless Waste Collection Data Management System with Automated Correction Algorithms

intechhouse.com

Environmental Services

Manufacturing

Utilities

Inconsistent Data Management in Waste Collection Scheduling

Existing system relies on inconsistent, partially manual data entry processes requiring extensive error correction. Limited multi-channel distribution capabilities for waste collection schedules across digital and print platforms.

About the Client

Polish waste disposal company specializing in thermal device installation for household waste processing, with ecological focus

Automated Data Correction and Multi-Channel Schedule Distribution

Implement automated data validation and correction algorithms
Develop calendar date editing functionality for schedule adjustments
Establish integrated web/print information distribution channels
Optimize data processing efficiency through cloud-native architecture

Core System Functionalities

Automated data validation and correction algorithms
Interactive calendar date adjustment interface
Dual-channel (web/print) schedule information distribution
AWS-hosted serverless architecture with DynamoDB integration

Cloud-Native Technology Stack

Python

React

AWS Cloud

DynamoDB

SPA Architecture

System Integration Requirements

Web portal interface
Printing house module integration

Operational Requirements

High scalability for city-wide data processing
Data integrity assurance
Low-latency response times
Cloud security compliance

Enhanced Data Accuracy and Cost Efficiency in Waste Management

Implementation of automated correction algorithms will significantly reduce manual data errors while cloud-based architecture and optimized print distribution will lower operational costs. System scalability will support city-wide expansion without proportional cost increases.