To develop an AI/ML-powered automated trade reconciliation system for stock market transactions in the Education sector.
To enhance efficiency and accuracy in trade reconciliation processes within the Education sector using AI technology.
To reduce manual errors and eliminate the need for human intervention in trade reconciliation tasks.
Conduct a literature review on AI technologies and their applications in the financial sector, particularly in trade reconciliation.
Design and develop a prototype of an AI-based automated trade reconciliation system specifically tailored for stock market transactions in educational institutions.
Test and evaluate the performance of the system in accurately reconciling trades and identifying discrepancies.
Analyze the impact of the AI-based system on efficiency and accuracy compared to traditional manual reconciliation methods.
Write a research report documenting the development process, results, and findings of the project.
