Mood_Mirror

🪞 Mood Mirror

An AI-powered mood tracking and reflection web app built with Flask.

About

Mood Mirror is a web application that helps users track, understand, and reflect on their emotional well-being over time. Powered by AI, it analyzes mood entries and offers personalized insights — acting as a mirror for your inner emotional state.

Features

📝 Log your moods — Record how you’re feeling with journal-style entries
🤖 AI-powered analysis — Get intelligent feedback and reflections on your mood patterns
📊 Mood history — View and track your emotional trends over time
🗄️ Persistent storage — SQLite database to store all your entries securely
🎨 Clean UI — Intuitive interface built with Flask templates

Tech Stack

Layer	Technology
Backend	Python, Flask
AI	Anthropic / OpenAI API (`ai.py`)
Database	SQLite (`db.py`, `models.py`)
Frontend	HTML, CSS, JS (`templates/`, `static/`)

Project Structure

Mood_Mirror/
├── app.py               # Main Flask application & routes
├── ai.py                # AI integration for mood analysis
├── models.py            # Database models
├── db.py                # Database connection setup
├── create_db.py         # Script to initialize the database
├── create_tables.py     # Script to create database tables
├── migrate_db.py        # Database migration utility
├── message_column.py    # Helper for message/column operations
├── static/              # CSS, JS, and static assets
├── templates/           # HTML Jinja2 templates
└── .gitignore

Getting Started

Prerequisites

Python 3.8+
pip

Installation

Clone the repository

git clone https://github.com/sakshidangi2006/Mood_Mirror.git
cd Mood_Mirror

Install dependencies
```
pip install -r requirements.txt
```

Set up the database

python create_db.py
python create_tables.py

Configure environment variables

Create a .env file in the root directory:
```
SECRET_KEY=your_secret_key
AI_API_KEY=your_api_key_here
```
Run the app
```
python app.py
```
Open your browser and visit http://127.0.0.1:5000

Contributing

Contributions, issues, and feature requests are welcome! Feel free to open a pull request or issue.

Author

Sakshi Dangi — @sakshidangi2006

License

This project is open source and available under the MIT License.