NEPSE Stock Market Prediction Using LSTM(Long Short Term Memory)

Undertook a semester project predicting Nepal Stock Exchange (NEPSE) stock prices using LSTM neural networks. Scraped real-time
data, preprocessed it, and built an LSTM model for forecasting. Enhanced skills in Python, data scraping, machine learning, and
time-series analysis, showcasing the application of advanced neural network techniques to financial data.