Efty34/MoodScribe

MoodScribe: An AI-Powered Journaling Companion 🧠✨

An intelligent mental wellness companion that analyzes stress from journal entries and provides personalized recommendations to improve your well-being.

1. Overview
2. Key Features
3. Screenshots
4. Tech Stack & Architecture
5. Deployment
6. Related Repositories
7. Getting Started
8. License
9. Acknowledgements

Overview

MoodScribe is a mobile application built with Flutter that serves as an intelligent mental wellness companion. It leverages AI and Natural Language Processing (NLP) to monitor emotional health through journaling. The app detects user stress levels from diary entries, provides psychological insights, and offers personalized lifestyle recommendations—books, music, movies, and exercises—to improve mental well-being.

Key Features

• 🤖 AI-Powered Journaling & Stress Analysis: Classifies entries into "Stress" or "No Stress" and identifies the specific aspect of stress (e.g., Relationships, Financial).

• 💡 Personalized AI Recommendations: A LangChain-powered AI agent suggests movies, books, music, and habits based on your emotional history and mood trends.

• ✅ Wellness-Centric To-Do List: Build good habits with a smart to-do list that reinforces daily actions for mental well-being, with smart reminders and AI categor

• ization.

• 📊 User Profile & Mood Insights: A personal dashboard with stats like your current streak, mood visualizations via pie charts, and a hub for your bookmarked favorites.

• 🗓️ Activity Tracking Heatmap: A calendar heatmap visually tracks your journaling consistency, motivating you to build a strong daily habit.

• 📝 Personalized AI Suggestions: A LangChain-powered AI agent provides personalized suggestions based on your emotional history and mood trends.

System Architecture

https://github.com/user-attachments/assets/f068639e-3d54-415f-bd3a-0afebda032a4

Tech Stacks

• Frontend: Flutter (Dart)

• Backend APIs: Python (FastAPI)

• AI Agent Framework: LangChain

• ML Model: Custom Ensemble Model (GAN + BiLSTM)

• Database: Firebase Firestore

• Deployment: Render (Backend), GitHub Actions CI/CD (Frontend)

Screenshots

https://github.com/user-attachments/assets/839b95e8-6822-493d-8c06-d4dee43c60b5	https://github.com/user-attachments/assets/299fd4c0-6bac-45c0-9128-80aee2091b6f	https://github.com/user-attachments/assets/166d97da-124c-480c-bebf-c3ea371d47bd	https://github.com/user-attachments/assets/d3cd054d-367f-438b-80e8-4d544f6d622b
https://github.com/user-attachments/assets/dd77bca1-b42a-4880-a376-f4111cc095c2	https://github.com/user-attachments/assets/a2d9ba7e-071b-4f5e-89da-2cfc227decc2	https://github.com/user-attachments/assets/e7e7a8fc-956b-497d-be2e-1b211c3c0906	https://github.com/user-attachments/assets/2bb4da48-1f0e-4383-9f66-ba1735ae30d0
https://github.com/user-attachments/assets/e80bc5f1-415f-488a-bbe3-973ffcae59d3	https://github.com/user-attachments/assets/cfc700e7-0ab6-4b57-a45f-01dc150509f9	https://github.com/user-attachments/assets/59f1b6ff-42ae-43da-ad50-7558e7b867cc	https://github.com/user-attachments/assets/2c5fa6ed-a353-4a23-8ce8-965008a10965
https://github.com/user-attachments/assets/f8003089-0775-45bc-8950-42293d3dec28	https://github.com/user-attachments/assets/120ac191-0023-407c-bad3-f9bf66aa923f	https://github.com/user-attachments/assets/204c2738-ef9c-4d1d-b8a4-319aa976b016	https://github.com/user-attachments/assets/4a31de75-dca4-4ec7-bec2-b364af508fa8
https://github.com/user-attachments/assets/45c2c2c0-5464-41dc-9ee2-aa2294e44c7c	https://github.com/user-attachments/assets/530dac9f-c412-4f1b-b01c-60dec8e729a3	https://github.com/user-attachments/assets/578e3a2c-c8d6-455e-bb3b-9f924f5ea40f	https://github.com/user-attachments/assets/fd6fb34d-de79-4584-b4e9-c6d228f8c418
https://github.com/user-attachments/assets/750363e7-ce73-4221-b3b8-adf4ed7ebaab

Deployment

• Backend Services: The AI Agent and the Stress Model are each deployed as separate FastAPI web services on Render, providing scalable and secure API endpoints.

• Frontend Application: The Flutter app is built and released automatically using a CI/CD pipeline configured with GitHub Actions. Every push to the main branch triggers a workflow that builds, signs, and attaches a release-ready APK to a new GitHub Release.

Related Repository

1. MoodScribe AI Agent

• Description: This repository contains the LangChain-powered AI agent responsible for generating personalized recommendations. It's built with Python and deployed as a FastAPI service on Render.

• MoodScribe Ai Agent

2. MoodScribe Stress Model

• Description: This repository contains the custom-trained ensemble machine learning model (Guided Attention Newtork + BiLSTM) used for stress detection and classification. It is also deployed as a FastAPI service on Render.

• MoodScribe Stress Model

Getting Started

To get a local copy up and running, follow these simple steps.

Prerequisites

• Flutter SDK installed

• An editor like VS Code or Android Studio

Installation

1.Clone the repo

  git clone <Repository_Link>

2.Install Flutter packages

  flutter pub get

1.Run the app

  flutter run

Acknowledgements

• Kazi Tasrif