2023-11-27.21.42.35.mp4
BurnOut is your ultimate fitness companion, designed to make tracking your daily calorie intake and workouts a breeze. Whether you're aiming to shed some pounds or bulk up, BurnOut has got you covered. Here's what you can expect:
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Personalized Profiles: Create your unique profile by entering your height, weight, fitness goals, and target weight. BurnOut tailors your fitness journey just for you.
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Calorie Tracking: Calorie mindfulness is the best way to achieve your goals. BurnOut provides a comprehensive calorie logbook as the best tool for a healthier lifestyle.
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Goal Setting: Set your health and wellness goals with ease. Whether it's weight loss or muscle gain, BurnOut provides the roadmap to get you there.
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ChatGPT4 generated WorkOut plan Now you can get customized and more accurate work out plan.
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ChatGPT4 generated diet plan Now you can get customized and more accurate diet plan.
and more:
- User can keep a track of their calorie intake and output.
- User just needs to input the food they've eaten or an activity they've done,and calories get calculated automatically.
- Displays a record of calories in and calories burnt out day wise in History tab.
- Helps user to figure out how much to eat/exercise according to their desired goal(weight loss/gain).
- Enrollment into a variety of workout programs.
- Accessible to everyone and easy to use.
- Demo
- Burn Out 4 new features and improvements
- Successful usecases
- Tech Stack
- Setup
- Testing
- Quick start guide(Core Functionalities):
- Future Scope
- How to Contribute
- Team Members
- Contact us
- Project's Funding
- Acknowledgements
- Recommended citation
- License
- Other important links
[Demo video showcasing the most recent updates and features of Burnout]
Please refer to Demo video, Documentation.md and Changelog.md for checking out the new features and improvements in BurnOut 4.0.0.
🎉️ Successful Use Case: Fitness Journey with BurnOut - Emma
Background: Emma, a Computer Science professional with a busy schedule.
Scenario:
Emma decided to prioritize her health and fitness but found it challenging to keep track of her diet and exercise routine due to her demanding job.
She started using BurnOut to create a personalized profile, set achievable fitness goals, and track her daily calorie intake and workouts effortlessly.
Result: Emma experienced a positive transformation in her overall well-being. The detailed calorie logbook in BurnOut helped her make informed decisions about her diet. With the goal-setting feature, Emma successfully maintained a balance between weight loss and muscle gain. Additionally, she connected with her colleagues using BurnOut, creating a supportive fitness community. Emma now enjoys a healthier lifestyle while excelling in her computer science career.
🎉️ Successful Use Case: BurnOut for Busy Professionals - Alex
Background: Alex, Marketing professional with a hectic work schedule.
Scenario:
Alex, driven by the need to stay fit despite a demanding job, started using BurnOut to manage his fitness routine efficiently.
He used the app to quickly input his meals and workouts, relying on the automatic calorie calculations to stay on top of his health goals.
Result: Alex successfully integrated BurnOut into his busy lifestyle. The app's accessible and user-friendly interface allowed him to effortlessly track his calorie intake and output. The personalized profiles and goal-setting features streamlined his fitness journey, and the app's history tab provided a clear overview of his progress. Despite a busy schedule, Alex achieved his fitness goals and maintained a healthy work-life balance.
Prerequisites:
- Python 3.10
Step 1: Install the MongoDB Community Edition:
The Community Edition lets you run MongoDB locally on your computer. If you want to work with MongoDB on the cloud, use MongoDB's Atlas managed database service.
Optionally, install MongoDB Compass as a GUI for MongoDB databases, using connection string mongodb://localhost:27017 for local development.
Then, make sure that MongoDB is running:
brew services start mongodb on macOS and mongod on Windows
Step 2:
Clone the repository: git clone https://github.com/1360119047/calorieApp_server.git
Step 3:
Note
It is best practice to use a virtual environment. We have been using venv, which comes bundled with Python.
To activate the venv virtual environment, navigate to the root of the project directory and run: source ./venv/Scripts/activate on macOS. To deactivate, run deactivate.
Alternatively, use pipenv virtual environment: pipenv shell
Install the required packages by running the following command in the terminal: pip install -r requirements.txt.
There is a separate requirements-dev.txt for installing dev dependencies: pip install -r requirements-dev.txt.
Step 4:
Run the following command in the terminal: python src/application.py
Step 5:
Open the URL in your browser: http://127.0.0.1:5000/
Step 6:
Run python src/insert_data.py to create a food collection and exercise collection in the test database. This food data is used for the Calories form.
Prerequisites:
Step 1:
Clone the repository: git clone https://github.com/1360119047/calorieApp_server.git
Step 2:
Run with Docker: docker compose up --build
Step 3:
Open the URL in your browser: http://127.0.0.1:5000/
We primarily test the application.py module, the Flask API interface for which the client side interacts. If HTTP requests to application.py endpoints
return expected values, then we can reasonably assume that other backend code that is customer-facing is working. That is what we most care about.
Unit tests are located in tests/test_application.py. To run tests and generate a code coverage report:
pytest --cov=application --cov-report=html
Note that coverage HTML is written to directory htmlcov in the same location the command is run. Navigate to htmlcov and open index.html in a browser.
- Improve frontend even more.
- Improve user profile with more information and customizable options. Make profiles viewable to friends and other users.
- Provide user stats and trends for diet and activity.
- Improve the food and activity selection forms with a more efficient search tool for a better experience.
- Make goals more customizable. Add profile badges and other rewards for hitting goals.
- Add functionality to workout enrollment feature. Incorporate workout planner and other progress metrics.
- Implement a recommendation system for foods, activities, calorie goals, etc.
Please refer to CONTRIBUTING.md for instructions on how to contribute to BurnOut.
Benyamin Tabarsi |
Keith Tran |
Kimia Fazeli |
Mohammed Faizan |
We are here to support you. Feel free to email us with any question or bug reports. We try our best to reply as soon as possible.
- Keith Tran (ktran24@ncsu.edu)
- Benyamin Tabarsi(btaghiz@ncsu.edu)
- Kimia Fazeli(kfazeli@ncsu.edu)
- Mohammed Faizan (mfaizan@ncsu.edu)
Our project is currently not funded, and we operate on a volunteer and open-source basis , and currently,improvement of the project solely relies on the dedication of our team and contributions from the open-source community.
We have built this code on top of the stack from the project BurnOut 3
You can cite us like this:
BurnOut with ChatGPT. Version 4.0. Keith Tran,Benyamin Tabarsi, Kimia Fazeli, Mohammed Fazian. 2023. BurnOut
This project is licensed under the MIT License.





