-
Personalized Music Recommendation System
Description: Build a recommendation system that provides song suggestions based on mood, genre preferences, or recent listening history. Incorporate NLP to analyze lyrics for sentiment analysis and match to user mood. Tech Stack: Python, sentiment analysis (NLTK or TextBlob), recommendation algorithms (collaborative filtering or content-based filtering), web app for UI. Skills Showcased: Machine learning, recommendation systems, NLP for sentiment analysis. Stretch Feature: Create a visualizer for the recommendation process that shows the relationship between user inputs and song features.