At Maincrafts Technology Pvt. Ltd., I built a House Rent Prediction system using Indian city housing data and compared regression models to select an approach.
I improved its reliability through data preprocessing, feature engineering, hyperparameter tuning, and k-fold cross-validation, then presented the methodology and results in a capstone presentation and internship report.
On my Room Rent Prediction project, I built and deployed an interactive Streamlit app. I also developed an NLP pipeline to distinguish fake from real news using TF-IDF.
My projects also include an LSTM model for stock price forecasting and a classifier for predicting IPL match winners. I work with Python and ML tools including scikit-learn, TensorFlow, and PyTorch.
