kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
A Flask web app that predicts stock prices for the next seven days using LSTM, ARIMA, and Linear Regression combined with Twitter sentiment analysis.
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The app fetches historical stock data from NASDAQ/NSE via yfinance and alphavantage APIs, trains multiple ML models including LSTM (with TensorFlow/Keras) and statistical models (ARIMA) alongside a Linear Regression baseline. It scrapes tweets via the Twitter API, performs sentiment analysis using Tweepy, and combines the price predictions with social sentiment signals to generate buy/sell/hold recommendations for the forecasted week.