MoodMorph is an emotionally intelligent product recommendation system that personalizes suggestions based on a user's MBTI type, mood, age group, and gender. Built with Streamlit and powered by machine learning, it offers a unique blend of psychology and AI to enhance user experience.
- 🔍 Mood Detection: Classifies user mood from natural language input using a custom emotion-word mapping.
- 🧬 Personality Profiling: Uses MBTI, age group, and gender to tailor recommendations.
- 🎯 Product Matching: Predicts product categories using a Random Forest classifier.
- 🛍️ Example Products: Displays sample products with links for direct access.
- 🌐 Streamlit Interface: Clean, interactive UI for real-time recommendations.
MoodMorph.ipynb: Main notebook with model training and Streamlit app code.emotionally_intelligent_recommendation_dataset.csv: Dataset with user traits and product categories.mood_match_emotion_dataset.csv: Keyword-to-emotion mapping for mood classification.app.py: Streamlit app script for deployment.
pip install streamlit scikit-learn pandas numpy