Mental Health & Well-being Web Application

Mental Health & Well-being Web Application
FULL STACK
Live & Active
ViewLive Demo
ViewSource Code

Technologies

ReactTypeScriptJavaScriptTailwind CSSCSS3HTML5Node.jsExpress.jsMongooseMongoDBGitGitHubESLintPostmanREST APIJWTFramer Motion

Mental Health & Well-being Web Application

This project is a user-friendly web application designed for mental health tracking and well-being guidance. It features a modern design with light animations, offering tools for daily mood submission, journaling, AI chatbot interaction, meditation guidance, and progress analytics to support users in their mental health journey.

Core Features

  1. User-Friendly Modern Design: Implemented a clean, intuitive, and modern user interface enhanced with subtle animations powered by Framer Motion, providing an engaging and calming user experience.

  2. Daily Mood Tracking: Features a dedicated section for daily mood submission, appearing once a day, allowing users to consistently monitor their emotional state.

  3. Personalized Mood Guides: Provides tailored guidance and resources for various moods, helping users understand and manage their emotions effectively.

  4. Digital Journaling System: Offers a secure journaling system where users can record their current moods and thoughts based on their daily situations, fostering self-reflection and emotional processing.

  5. AI Chatbot Support: Integrates an AI chatbot for interactive conversations, offering support and guidance in a conversational format.

  6. Meditation Guidance: Provides guided meditation sessions and resources to help users practice mindfulness, reduce stress, and promote relaxation.

  7. Insightful Dashboard & Analytics: Features a comprehensive dashboard with analytics, allowing users to visualize their mood patterns, track progress, and gain insights into their mental well-being over time.

  8. Daily Goal Management: Includes a system for setting and managing daily goals, encouraging positive habits, and consistent engagement with well-being practices.

Challenges and Learning Outcomes

  1. Implementing Smooth Animations: Integrating light animations using Framer Motion required careful attention to performance and user experience, ensuring smooth transitions without compromising loading times.

  2. Designing Intuitive User Flows: Creating user-friendly flows for features like daily mood submission and journaling involved thoughtful UI/UX design to ensure ease of use and encourage consistent engagement.

  3. Integrating AI Chatbot: Developing and integrating an AI chatbot that provides relevant and helpful responses for mental health support presented challenges in natural language processing and conversational design.

  4. Data Visualization for Analytics: Designing and implementing a dashboard with clear and meaningful analytics required effective data visualization techniques to present complex emotional data in an understandable format.