Machine Learning Stock Price Prediction with LSTM (Indian Markets)

Build a deep learning model that predicts next-day closing price for any NSE/BSE-listed Indian stock using LSTM. Wrap predictions in a Streamlit dashboard where users pick a ticker and see prediction + confidence band.

Course Learning Outcomes (CLOs):
CLO1: Apply time-series feature engineering to financial data.
CLO2: Design + train an LSTM architecture and tune hyperparameters.
CLO3: Analyze model performance using appropriate metrics (RMSE, MAE, directional accuracy).
CLO4: Compare ML predictions to classical baselines and reason about model failure modes.
CLO5: Deploy a working data product as a usable web interface.

Industry/societal relevance: Quant + algorithmic trading is a major Indian fintech employer; portfolio-ready project for analyst/intern roles at Zerodha, Groww, INDmoney, etc.