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pickling

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FlameCast is a Flask web application that solves the problem of predicting the Fire Weather Index (FWI) for wildfire risk assessment using a machine learning model. It features a user-friendly interface for inputting meteorological data and instantly viewing the prediction.

  • Updated Sep 10, 2025
  • Jupyter Notebook

Developed a Bengaluru house price prediction project using Python libraries like Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. Implemented data cleaning, feature engineering, and model evaluation with techniques such as median imputation, outlier removal, and Random Forest modeling (R-square: 0.72, MAPE: 0.18). Deployed the model via Flask

  • Updated Aug 3, 2024
  • Jupyter Notebook

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