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Low-Level Design (LLD)

Data Preprocessing

Remove null values
Normalize features (price, volume, etc.)
Feature Engineering: Moving averages, volatility, momentum

Model

Algorithm: Random Forest Regressor
Evaluation: R² score, MSE

Flask App (`app.py`)

/: Home route with input form
/predict: POST route to collect input and return prediction

File Structure

notebooks/: EDA and training
src/: Flask app
models/: Saved model
data/: Cleaned dataset