For many people, managing personal finances involves much expenditure of time and great effort. All of this will be made easy by an AI-powered management system in personal finance, through budgeting, expense tracking, and investment advice. This project is meant to develop an AI system backed by machine learning to analyze financial data to provide personalized financial advice that will help users achieve better financial health.
Week 1-2
Initial Planning and Requirement Analysis
Define project objectives and scope, high-level requirements.
Accumulate all data and resources needed.
Week 3-4
Data Collection and Preprocessing Phase
Gather financial data used for training and testing and preprocess them.
Extract features from raw data and clean the dataset.
Week 5-6
Model Development Phase
Train machine learning models developed for financial analysis.
Validate model accuracy and performance using test data.
Week 7-8
System Implementation Phase
Implement features of budgeting, expense tracker, and investment suggestion.
Update data in real time with the integration of the models with financial APIs.
System testing and refinement based on performance metrics and user feedback.
Weeks 9-10
System Integration and Testing Phase
Extensive testing for precise financial management and suggestions.
System performance monitoring and user interactions
Continuous improvement by analytics and user feedback
Week 11-12
Final Evaluation and Reporting Phase
Final Evaluations and Validations of AI-Powered Personal Finance Management System
Compilation of the final project report and documentation
Presentation of individual Report Presentations by Students
