During my Machine Learning Internship, I worked on a project involving Big Mart sales data prediction. I performed data cleaning to ensure the dataset was accurate and ready for analysis, followed by data visualization to identify patterns and insights. After building and training the prediction model, I successfully deployed the solution using Flask, allowing for real-time predictions. Through this project, I strengthened my skills in data preprocessing, machine learning model development, and web deployment. Additionally, I gained hands-on experience with libraries like Pandas, Matplotlib, and Flask, and learned how to integrate machine learning models into web applications.