1. Introduction
  - Background and motivation
  - Objectives of the project
2. Literature Review
  - Overview of financial forecasting methods
  - Review of machine learning techniques for predictive modeling
3. Data Collection and Preprocessing
  - Selection of financial data sources
  - Data cleaning and feature engineering
4. Machine Learning Model Development
  - Selection of predictive features
  - Implementation of machine learning algorithms
  - Model training and evaluation
5. Performance Evaluation
  - Metrics for evaluating predictive accuracy
  - Comparison with traditional forecasting methods