All the Tasks and Projects done during the internship with CODSOFT have been uploaded here.
This project demonstrates the creation of a simple rule-based chatbot using Python. The chatbot responds to user inputs based on predefined rules and pattern matching techniques. It aims to provide a basic understanding of natural language processing and conversation flow.
This project is an implementation of the classic game of Tic-Tac-Toe, where you can play against an AI opponent that uses the Minimax algorithm with Alpha-Beta Pruning. The goal is to create an unbeatable AI opponent that can challenge human players to improve their skills and understanding of game theory and basic search algorithms
a straightforward yet effective recommendation system designed to offer personalized book suggestions to users based on their preferences. The system leverages advanced techniques like collaborative filtering and content-based filtering to provide tailored book recommendations.
KEY FEATURES
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Collaborative Filtering: Collaborative filtering is a technique that analyzes user behavior and interactions. It identifies patterns and similarities between users to recommend books based on what similar users have read and enjoyed. This ensures that users receive book suggestions that align with their tastes.
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Content-Based Filtering: Content-based filtering takes into account the attributes and characteristics of books, such as genres, authors, themes, and summaries. It matches these attributes with user preferences to recommend books that share similar characteristics with what the user has previously liked.