Moodify - Sentiment Analysis Journal Application

Inspiration

I wanted to create a simple yet powerful tool that combines journaling with sentiment analysis to help users gain insights into their emotional trends over time.

What it does

Moodify is a web-based journal application that:

• Allows users to write journal entries with their name
• Analyzes the sentiment of each entry using VADER sentiment analysis
• Tracks and visualizes emotional trends over time
• Provides a clean, intuitive dashboard to view historical sentiment patterns

How we built it

Moodify was built using:

• Frontend: Next.js with React components
• Styling: Tailwind CSS for responsive design
• Charting: Chart.js for data visualization
• Backend: Next.js API routes
• Database: MongoDB with Mongoose for data persistence
• Sentiment Analysis: VADER sentiment analysis library

Key components:

• Journal form for entry submission
• Sentiment dashboard with line chart visualization
• API routes for data fetching and submission
• MongoDB models for data structure

Challenges we ran into

• Database Connection Management: Implementing proper connection caching with MongoDB to prevent multiple connections
• Sentiment Analysis Integration: Configuring the VADER library to work seamlessly with our journal entries
• Date Handling: Properly formatting and displaying dates in the sentiment trend chart

Accomplishments we're proud of

• Creating a fully functional sentiment analysis system that provides real-time feedback
• Building an intuitive visualization dashboard that clearly shows emotional trends
• Creating a complete full-stack application with database integration

What I learned

• How to integrate sentiment analysis into a practical application
• Best practices for MongoDB connection management in Next.js
• Advanced data visualization techniques with Chart.js

What's next for Moodify

• User Authentication: Implement proper user accounts instead of simple usernames
• Enhanced Analytics: Add more detailed statistics and insights about mood patterns
• Reminders & Notifications: Add features to encourage regular journaling habits
• Export Functionality: Allow users to export their journal data
• Themes & Customization: Add personalization options for the journal interface
• AI Insights: Incorporate more advanced AI to provide personalized recommendations

Moodify has the potential to grow into a comprehensive mental wellness platform that helps users not just track but understand and improve their emotional well-being.

Built With

• axios
• chart.js
• mongodb
• next.js
• tailwindcss