gAInz

Have you ever wanted to start your fitness journey but never knew were to start. Well I have the application for you gAInz, the website that gives you your very own personal AI trainer.

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Inspiration

Our inspiration for gAInz was our love for working out and eating healthy. Especially with diet culture and misinformation it is hard to know what is the best workout and meal plan for you and your goals. We wanted to create a product that allowed people of any skill level to be able to create a workout or meal plan that works best for them.

What it Does

gAINz is a web application that utilizes OpenAI to curate personalized fitness and meal plans tailored to user-inputted preferences and necessities. Once the specified plan is created, the user can even choose to have the weekly plan texted to their phone!

The questions that we asked for the meal plan are

  1. Do you have any dietary restrictions (Vegetarian, Vegan, Pescatarian, etc)
  2. What is your fitness goal (Maintain weight, Lose weight, gain weight, and body body recomposition)
  3. Age, Height, and Weight
  4. Gender
  5. If any what are your health concerns

The Questions for the Workout Plan are

  1. What skill level are you? (Beginner, Intermediate, Advanced)
  2. What is your fitness goal (Maintain weight, Lose weight, gain weight, and body body recomposition)
  3. How many does do you want to do upper body
  4. How many days do you want to do Cardio
  5. Do you want to do Cardio
  6. How old are you
  7. Do you have any health concerns

How it Works

It was created in IntelliJ using an Angular Framework which utilizes CSS, HTML, and TypeScript for front-end development and the backend is run using node.js and express.js. Twilio API was used to allow for text notifications and the application is also deployed to the cloud using the GoogleCloud App Engine and Cloud Storage Bucket.

Challenges

The biggest challenge faced was figuring out how to incorporate OpenAI into the code as well as establishing the connection between the front-end and back-end required to send the user responses to the AI generator.

Accomplishments

The use and implementation of Twilio was a big accomplishment as not many of our members had much experience with using it.

What We Learned

We learned that there is a lot that goes into making a project from start to finish as there are many frameworks and applications that can be used. In addition, we learned that it is okay to not know everything. This experience solidified some basics and allowed for a strengthened foundation that can now be utilized for other personal projects. It also gave us a better understanding of areas of coding that we are more passionate about which is sure to give us more direction for personal research in the future.

What's Next?

The best way to improve the fitness and meal plans for gAInz is through the implementation of tutorials. We are seeking to incorporate video tutorials for our fitness plans or step-by-step recipes for our meal plans. We wish to include these features for ease and importance as having tutorials showing how to use proper form for exercises is extremely important to prevent injury and having detailed recipes for the meal plans would allow for more incentive and information to produce the foods detailed in the meal plans. Another feature we are working to implement is the ability to have the application send notifications of the meal or fitness plan in the morning as a daily reminder. Furthermore, we would like to implement a feature for the user to have the ability to send the number a request for a meal or fitness plan through a text and have one be curated directly without the use of the web application.

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