Machine Learning-Based Personal Finance Assistant
A Final year academic project that helps manage personal finances more intelligently and accessibly using modern web development and machine learning.
- Automatically categorizes transactions with a Logistic Regression model trained on a large transactions dataset.
- Predicts next month's spending per category using Linear Regression trained on each user's transaction history.
- Detects unusual transactions in real time with Isolation Forest and sends immediate notifications.
- Tracks budgets with automated warnings, spending analytics, recurring transaction management, and multi-format export.
Impact & OutcomeBuilt to make personal finance management smarter, faster, and easier to access.
Personal FinanceMachine LearningNext.jsFastAPIPostgreSQL
