Overview The E-commerce Recommendation Bot is a Python-based recommendation system that suggests products to users based on their past purchases. Using Cosine Similarity, the bot compares customer purchase histories to recommend items that similar customers have bought but the target customer has not.

This project is ideal for learning how recommendation systems work and can be extended into a more complex, production-ready solution.

Features Customer-based recommendations: The bot suggests products based on the purchase history of similar customers. Cosine Similarity: It uses cosine similarity to measure the similarity between customers’ purchase histories. Command-line interface: Users can interact with the bot via a simple command-line interface by inputting their customer ID.

Requirements Make sure you have Python 3.x installed. You'll also need to install the following dependencies:

pandas: For data manipulation. scikit-learn: For calculating cosine similarity between customer purchase histories. You can install them using the requirements.txt file:

Happy Hunting!!