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Volume 1 - Issue 4, November - December 2025

📑 Paper Information
📑 Paper Title AI-Powered Smart Investment Assistant with Sentiment Risk Prediction
👤 Authors Harshada Bhalchandra Patil, Krushnal Raju Patil, Prachi Sunil Pedkar, Lochan Rajbahadur Khatri
📘 Published Issue Volume 1 Issue 4
📅 Year of Publication 2025
🆔 Unique Identification Number IJAMRED-V1I4P33
📝 Abstract
The Smart Investment Assistant is an AI-driven web application designed for stock market analysis, price forecasting, sentiment evaluation, and investment recommendations. Developed using the Flask web framework, it integrates NumPy, Pandas, yFinance for stock data retrieval, Requests for API interactions, TextBlob for sentiment analysis, and TensorFlow Keras for LSTM-based time series forecasting. The system is configured with a pre-trained LSTM model stored at lstm_model.h5, utilizing a 30-day lookback period and a default 14-day prediction horizon. API keys for NewsAPI enable real-time news fetching, while a regular expression validates ticker symbols. Logging is implemented at the INFO level for robust monitoring
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