HealthByte

HealthByte is a Flask‑based web application for tracking daily nutrition, setting calorie goals, and receiving food recommendations based on dietary preferences to complete daily calorie intake (Vegan, Vegetarian, Non‑Vegetarian).

This project was completed as part of the coursework for Applied Database Technologies.

Features

• User signup, login and secure password storage
• Set and track daily calorie goals
• Search and compare nutritional profiles of foods
• Log daily intake with quantity and view history
• Automatic recommendations for remaining calories
• Visual charts for food comparison

Functionalities

1. Login Page

2. Signup Page

3. Food Searching

4. Food Adding

5. Daily Log

6. Recommendations based on left calories for day

7. Comparing two food items

Directory Structure

/healthbyte
├── app.py              # Main Flask application with routes
├── models.py           # SQLAlchemy models: User, Food, DailyEntry
├── modified_nutrition.csv  # Nutrition dataset used by the app
├── templates/          # Jinja2 HTML templates
│   ├── index.html
│   ├── login.html
│   ├── signup.html
│   ├── search.html
│   ├── compare.html
│   ├── daily.html
│   └── layout.html
├── static/             # Static assets (CSS, JS, images)
├── .env                # Environment variables (SECRET_KEY, DATABASE_URL)
├── .gitignore
└── README.md           # This documentation

Setup & Installation

1. Clone the repo:
   git clone https://github.com/yourusername/healthbyte.git
2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:
   pip install -r requirements.txt
4. Configure .env with:

   SECRET_KEY=your_secret_key
   DATABASE_URL=mysql://user:pass@host/db_name
   

5. Initialize the database:

   flask db init
   flask db migrate
   flask db upgrade

Running the App

export FLASK_APP=app.py
export FLASK_ENV=development
flask run

Open http://localhost:5000 in your browser.

Usage Workflow

1. Signup/Login: Create an account or login.
2. Set Preferences: Define your daily calorie goal and dietary preference.
3. Search Foods: Lookup items from modified_nutrition.csv.
4. Compare: Select two foods to see a side‑by‑side nutrient bar chart.
5. Log Intake: Record quantity consumed each day.
6. Daily View: Check your calories, history, status (✓/✗), and get recommendations.

How It Works

• Flask & SQLAlchemy: Routes in app.py handle HTTP requests. Models in models.py map to MySQL tables.
• Authentication: Managed with Flask-Login; passwords hashed via Werkzeug.
• Data: Food records loaded from CSV into the Food table.
• Visualization: Matplotlib generates comparison charts, embedded as Base64 images.
• Recommendations: Calculates remaining calories and filters foods by user preference.

Authors

Meryl Sarah Jacob - Indiana University Bloomington
Dhruvil Joshi - Indiana University Bloomington