Development of a Serverless Automated Data Processing System for Urban Waste Collection Scheduling
The system should ingest, validate, and correct waste collection schedule data, provide user interfaces for data review, and disseminate schedules via web and print integrations, all hosted in a cloud environment.
Serverless cloud architecture (e.g., AWS Lambda or similar) to ensure scalability and cost-efficiency, Python for backend data processing and correction algorithms, React for front-end web interfaces...