Built a machine learning–driven system to analyze and track users' emotional states from text-based inputs (e.g., journal entries or social media–like posts). Used Natural Language Processing (NLP) for multi-label emotion classification to detect emotions like joy, sadness, anger, and anxiety. Applied clustering algorithms to group users by emotional patterns and trends over time.