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@article{196047,
        author = {Pole Vennela and M.Mary Sujatha and G. Sreedhar},
        title = {Predictor Pro: A Unified Machine Learning Application for Stock Market and Weather Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2607-2612},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196047},
        abstract = {Predictor Pro introduces a desktop application. It demonstrates prediction of stock market movements and weather conditions using machine learning algorithms. Predicting stock market trends is difficult because of market volatility and the complexity of financial time series data. Traditional statistical methods often struggle to capture the nonlinear relationships that affect price changes. Weather forecasting is important task in agriculture, transportation, and disaster management. Predictor Pro is a desktop application that applies six machine learning algorithms namely Logistic Regression, K-Nearest Neighbour, Decision Trees, Random Forest, Support Vector Machines, and Gradient Boosting. It predicts stock price movements and forecasts the weather. The system analyses historical price data, including Open, High, Low, Close, and Volume, to predict if the next day's closing price will rise (UP) or fall (DOWN). For weather forecasting, it processes historical data like Date, Precipitation, Maximum temperature, Minimum temperature, Wind, and Weather to forecast the following day's weather conditions and provide recommendations. Experimental results indicate that the overall accuracy varies across different algorithms, with accuracy levels ranging from 55% to 65%. Support Vector Machines and Decision Trees perform better than the other methods. The application features an easy-to-use GUI, collects real-time data through the Yahoo Finance API, offers interactive visualizations, and provides live predictions. Although it is not suitable for actual trading decisions, Predictor Pro is a useful educational tool for learning about machine learning in financial forecasting.},
        keywords = {Machine learning, Stock Market, Weather Forecasting, Support Vector Machine (SVM), Decision Tree, Random Forest, Gradient Boosting, K-Nearest Neighbour (KNN), Logistic Regression.},
        month = {April},
        }