AI-Financial-Advisor

🧠 AI Financial Advisor

The AI Financial Advisor is a machine learning-powered application that forecasts future stock prices and assists in making basic investment decisions. It leverages historical market data to train predictive models and provides a simple framework for financial trend analysis.

🚀 Key Features Automated Data Retrieval: Uses Yahoo Finance API via yfinance to fetch historical stock data. Preprocessing Pipeline: Cleans and structures financial time-series data for ML training. Predictive Modeling: Implements a RandomForestRegressor to predict the next day's closing stock price. Modular Architecture: Clean separation between data collection, processing, modeling, and prediction logic. Extensibility: Easy to expand with other algorithms (LSTM, XGBoost) or other financial assets (crypto, ETFs).

🔧 Tech Stack Python, Pandas, NumPy scikit-learn for ML modeling yFinance for data access joblib for model persistence (Optional) Streamlit/Flask for dashboard deployment

📈 Use Case This project is ideal for:

Beginners exploring financial machine learning. Developers wanting to build trading assistants. Students seeking a portfolio-ready ML project with real-world applicability.