Emotion Health Tracker 📌 Overview The Emotion Health Tracker is a Flask-based web application that analyzes user emotions based on text input and provides personalized recommendations for well-being. It helps users track their mental health and receive actionable advice.

🚀 Features Sentiment analysis using predefined emotion-based keywords

Health-based recommendations (sleep, hydration, relaxation, etc.)

Simple and interactive web interface

Flask backend with REST API for emotion analysis

🛠️ Technologies Used Backend: Flask (Python)

Frontend: HTML, CSS, JavaScript

Version Control: Git & GitHub

🔧 Installation & Setup Clone the repository

sh Copy Edit --> git clone https://github.com/Quantumboy80/Emotion-Health-Tracker.git

Navigate to the project directory

sh Copy Edit --> cd Emotion-Health-Tracker

Create a virtual environment (optional but recommended)

sh Copy Edit --> python -m venv venv --> source venv/bin/activate # macOS/Linux --> venv\Scripts\activate # Windows

Install dependencies

sh Copy Edit --> pip install -r requirements.txt

Run the Flask application

sh Copy Edit --> python app.py

Access the web app Open http://127.0.0.1:5000 in your browser.

📩 API Usage Endpoint: /analyze Method: POST

Payload (JSON Example):

json Copy Edit { "text": "I feel stressed and exhausted today.", "sleep_hours": 5, "water_intake": 1.5 } Response Example:

json Copy Edit { "emotion": "NEGATIVE", "recommendation": "Take breaks, engage in relaxing activities like music. Ensure you get proper rest, take short breaks, and try relaxation techniques like stretching or meditation. Try to get at least 7-8 hours of sleep. Make sure to drink at least 2 liters of water.", "score": 0.8 } 🤝 Contributing Feel free to open issues and pull requests for improvements.

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