Echo Journal: AI-Powered Journal

Echo Journal is a mobile journaling app designe to help users write down their thoughts, track their emotions, and gain actionable insight into their mental well-being. By combining reflective writing with self-trained AI-driven emotion analysis, the app fosters self-awareness and provides personalized recommendations to improve emotional resilience.

Table of Contents

• Features
• Installation
• Usage
• AI Integration

Features

• AI-Powered Emotion Analysis: Analyze journal entries to detect emotions like happiness, sadness, anger, and calmness.
• Personalized Recommendations: Receive tailored suggestions based on your emotional state.
• Mood Board Visualization: Track emotional trends over time with an interactive calendar.
• Photo Integration: Attach images to your entries for a richer journaling experience.
• Night Mode: Enjoy a visually comfortable interface with a customizable night mode.
• Duplicate Entry Prevention: Avoid accidental duplicate entries for the same date.

Installation

Prerequisites

• macOS or iOS device
• Xcode 14+ installed
• Swift 5.7+

Steps

1. Clone the repository:

   git clone https://github.com/rs-dkd/EchoJournal.git
   

2. Open project in Xcode: File > Open > EchoJournal

3. Resolve Dependencies:

   swift package resolve
   

4. Build and Run: Click Run button in Xcode

Usage

1. Create a New Entry:

   • Tap the "+" button to start a new journal entry.
   • Write down your thoughts.
   • Add photos to complement your entry.

2. Analyze Your Mood:

   • After saving your entry, choose to analyze your mood.
   • The app will display the detected emotion, an emoji representation, and personalized recommendations.

3. Track Trends:

   • Visit the "Mood Board" tab to view your emotional trends over time.
   • Use the calendar to navigate through past entries and reflect on your journey.
   • Enjoy all of the images you included in your entries throughout the month.

AI Integration

Echo Journal leverages CoreML and a custom-trained machine learning model (toneDetectorAI) to analyze the emotional tone of journal entries. Here's how it works:

1. Text Processing: The app processes the text of each entry using Natural Language Processing (NLP) techniques.
2. Emotion Detection: The AI model predicts one of four emotions—Happy, Sad, Angry, or Calm—based on the content.
3. Recommendations: Based on the detected emotion, the app provides actionable suggestions to help users manage their feelings.

This integration transforms simple journaling into a powerful tool for emotional exploration and growth.