Machine Learning Project – GUI Application | Python, Tkinter / Streamlit, Scikit-learn, Pandas

Designed and implemented a graphical user interface (GUI) to make a machine learning model accessible to non-technical users.

Integrated data input fields and file upload functionality for real-time interaction with the ML model.

Connected backend prediction logic with the GUI, allowing users to preprocess data and generate predictions seamlessly.

Applied data preprocessing techniques (handling missing values, encoding, scaling) to ensure robust predictions.

Visualized model outputs and results within the interface for better user understanding.

Improved usability by building an interactive, user-friendly design that simplifies workflow and enhances engagement.