MoodStudy with Mood Prediction Extension

Project Overview

MoodStudy is a unique self-improvement website that offers a rich and engaging experience, guiding users through a personal journey of emotional well-being. MoodStudy combines storytelling, journaling, suggestions, and analytics to provide users with a comprehensive emotional wellness platform. Additionally, the Mood Prediction Extension enhances the platform by tracking and predicting the user's mood in real-time, offering insights and suggestions based on their emotional state.

Features

1. Emotional Journey

  • Interactive Story Mode: Users immerse themselves in a captivating narrative where they become a character navigating life's challenges, leading to mood upliftment.

2. Journaling

  • Journal Entries: Users can record their thoughts, emotions, and experiences to gain self-awareness and reflection.

3. Personalized Upliftment

  • Upliftment Suggestions: Receive personalized suggestions for mood enhancement based on your last 15 recorded moods.

4. Dashboard Analytics

  • Dashboard Overview: Get a quick snapshot of your emotional well-being journey with charts and statistics, including real-time mood predictions from the extension.

5. Future Features (Upcoming)

  • Reminders & Notifications: Receive timely reminders and prompts for self-reflection and engagement.

User Experience

Mood.Study aims to provide an engaging and immersive experience to users. Through a combination of storytelling, journaling, and personalized suggestions, users embark on a journey of self-discovery, culminating in improved emotional well-being. The Mood Prediction Extension enhances the user experience by offering real-time insights and suggestions, making the platform even more valuable for emotional well-being.

Technical Stack

  • Front-End: HTML, CSS, JavaScript
  • Back-End: Node.js, Express.js
  • Database: MongoDB Atlas
  • Text Editor: TinyMCE
  • Library: Taipy, Chart.js

Conclusion

Mood.Study is an emotional well-being platform that combines storytelling, self-reflection, and real-time mood prediction to guide users toward a happier and healthier life. With a strong technical foundation and a commitment to user engagement, Mood.Study is poised to make a significant impact on users' emotional well-being. The Mood Prediction Extension adds an innovative dimension to the platform, providing users with valuable insights and suggestions for emotional well-being without the need to explicitly track their mood.

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