Customer Purchase Recommendation System

A Python-based recommendation tool achieving 96% accuracy using TensorFlow and Scikit-Learn.

Customer Purchase Recommendation System

Developed a Python-based recommendation tool using TensorFlow, Pandas, NumPy, and Scikit-Learn, achieving 96% accuracy in predicting customer purchases.

Technical Details

• Machine Learning: Utilized advanced libraries (TensorFlow, Scikit-Learn) to build and train the recommendation model.
• Data Processing: Processed large datasets using Pandas and NumPy for efficient feature engineering.
• Deployment: Designed an intuitive user interface with Next.js and deployed the system on an AWS EC2 instance for scalable performance.