Objective: The objective of this project is to perform sentiment analysis on customer reviews to understand their opinions and sentiments towards a product or service. By analysing the sentiment expressed in textual data, we aim to gain insights into customer satisfaction levels, common complaints or praises, and ultimately drive informed business decisions.Tool Used: Python, along with libraries like Pandas, NLTK, scikit-learn, and Matplotlib, ML models(LR,RF,NB,SVM..), were utilized for data preprocessing, model building, evaluation, and visualization.Business Need: Understanding customer sentiment is vital for maintaining satisfaction and brand reputation, guiding prodect/service enhancements.Solution: Data Collection, utilized machine learning models text pre- processing, analyse sentiment, Model Evaluation, Deployment.Conclusion: Sentiment analysis offers actionable insights for businesses, enhancing customers experience and facilitating data-driven decision-making.