TRACK CALORIE-INTAKE HANDS-FREE!

Tell the app what you ate, and it will calculate your calorie intake within seconds!

Project Overview

Project Name	Calorie Tracker Using Python
Language/s Used	Python (Django) and JavaScript (React Native)
Python Version (Recommended)	3.x
Database	SQLite
Type	Web Application with Android Frontend
Developer	UPDATEGADH

Inspiration

Many users struggle with traditional calorie-tracking apps due to their complexity and time-consuming input methods. “My Calories” simplifies this by enabling hands-free voice input, helping users track their meals efficiently and without hassle.

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What It Does

• Takes voice input from the user about what they ate.
• Searches the food item in the database.
• Displays the total calorie intake of the day.
• Provides visual feedback using color codes (green for low, red for high calorie intake).
• Shows detailed information on calories for each consumed item.
• Maintains a history of calorie consumption for better tracking.

How We Built It

• Frontend: Developed with React Native and hosted on Android devices.
• Voice Recognition: Integrated Google Voice Recognition Service to capture user voice inputs.
• Backend: Built with Python Django and Django REST Framework.
• Database: SQLite database stores food calorie pairs and user records.
• Deployment: The backend RESTful API endpoints are deployed on Heroku.

Challenges Faced

• Configuring deployment environments.
• Developing intuitive UI integration with React Native and Android Studio.
• Creating seamless integration between frontend, backend, and database.

Accomplishments We’re Proud Of

• Usability: Voice input significantly reduces manual data entry.
• Simplicity: Users simply speak, and the app calculates everything automatically.
• Efficiency: Adding an entire meal takes less than a minute.

Future Enhancements

• Adding a custom calorie entry feature for personalized tracking.
• Enabling user login and profile management.
• Sharing calorie information with friends for motivation.
• Expanding the food database for improved accuracy.

Example Usage

Voice Commands:

• “Lite breakfast: one cup of coffee, one slice of bread.”
• “Lunch: three slices of pizza, one can of soda.”
• “Dinner: one bowl of spaghetti, two pieces of salmon.”
• “Too many calories! Cut down my cookies.”

How to Set Up

Backend Setup

1. Install Django:

pip install django

2. Install Django REST Framework:

pip install djangorestframework
pip install markdown

3. Activate the environment:

source bin/activate

4. Run the server:

python manage.py runserver

5. Sync the database:

python manage.py migrate

Frontend Setup

1. Navigate to the frontend folder:

cd frontend/

2. Install dependencies:

npm install -g expo-cli

3. Start the frontend server:

npm start