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Author(s):

S.Shri Lekha | Sreshta Sridhar | G.Rajeswari
Keywords:

Stress Detection, Sentiment Analysis, Mental Wellness, NLP, Chatbot, Personalized Recommendations, Streamlit.
Abstract:
In Today’s Fast-paced Digital Era, Stress-related Issues Have Become Increasingly Prevalent, Demanding Intelligent And Accessible Mental Health Solutions. This Paper Presents Zenalyze, An AI-driven Chatbot Designed For Real-time Stress Detection And Personalized Emotional Support. The System Leverages Natural Language Processing (NLP) And Sentiment Analysis Using The TextBlob Library To Interpret User Emotions Accurately. It Integrates The Google Translate API For Multilingual Communication, Ensuring Inclusivity Across Diverse Users. Unlike Conventional Wellness Applications, Zenalyze Combines Mood Tracking, AI-guided Journaling, Task Management, And Lifestyle Monitoring Within A Unified Streamlit-based Platform. The Chatbot Provides Context-aware Recommendations, Including Mindfulness Exercises, Relaxation Techniques, And Motivational Prompts, Tailored To The User’s Detected Mood. By Fusing Emotional Intelligence With Behavioral Insights, Zenalyze Delivers An Empathetic And Adaptive Support System. The Modular Architecture Further Enables Future Enhancements Such As Voice Interaction, Facial Emotion Detection, And Predictive Analytics, Promoting A Scalable And Intelligent Approach To Stress Management And Emotional Well-being..