Increasingly, there is a growing need for operational efficiency and cost reduction, this fuels the adoption of RPA across various industries.
The discussed project works toward developing an RPA system for the automation of repetitive tasks involved in business processes, like data entry, invoice generation, and report generation.
Introducing machine learning and AI will make business operations more accurate, with lesser manual effort and higher productivity.
Week 1-2: Initial Planning and Requirement Analysis
Define the project objectives, scope, and high-level requirements.
Gather necessary data and resources.
Week 3-4: Business Process Analysis and Data Collection Phase
Identify and analyze business processes suitable for automation, and
Collecting and preprocessing relevant process data Week 5-6: Model Development Phase
Designing and training machine learning models that would be capable of doing tasks repetitively.
Model validation for accuracy and performance against test data.
Week 7-8: RPA System Development Phase
In this phase, an appropriate tool and platform shall be used to develop and deploy the RPA system.
In this phase, the RPA system shall also be integrated into existing business applications and workflows.
Test and refine the RPA system according to performance metrics and user feedback.
Week 9-10: System Integration and Testing Phase
The RPA system implemented in the business environment.
Monitoring system performance and user interaction with the system.
Improvement implemented on a continuous cycle basis in line with resultant analytics and user feedback.
Week 11-12: Final Evaluation and Reporting Phase
This would normally include the final reviews and testing of an RPA approach.
Final project report and integration of all documentation
Presentations of individual reports by students
