Inspiration
As athletes ourselves, we know how important it is to keep track of our caloric intake in order to maintain peak physical performance. But we also understand how tedious and time-consuming it can be to manually track every single thing we eat. That's why we created this calorie tracker web application, using our own experiences as athletes to inform its design and features. We wanted to create a tool that was both efficient and easy to use, allowing us to quickly and accurately track what we eat in just a few clicks. By incorporating machine learning, APIs, and databases, we've made it even easier for users to input their food intake, get accurate calorie information and get push notifications on their phones or computer. Our hope is that this app will help other athletes, as well as anyone looking to improve their health and wellness, to easily and effectively track their daily caloric intake and achieve their fitness goals.
Social Good
By helping people to make informed decisions about their diet and nutrition, Calory contributes to the broader social good of promoting healthy lifestyles and reducing the prevalence of chronic diseases associated with poor nutrition.
How to use it
Our innovative calorie-tracking application takes the hassle out of keeping track of your daily food intake. With just a few simple clicks, you can input the food you've eaten, and below is a chart with what the food contains along with exercises to help burn the calories of the food you ate.
How we built it
We built the application primarily with HTML and CSS for the front end and used other packages for the UI. To store the information and implement the Nutrition API we used a backend of Django Python.
What we learned
As a group, we learned how to use the Nutrition API and integrate a Django Python backend.
What's next for Calory
For calories, we hope to improve it further by using Google Vision which allows a user to use their camera to detect the food, making the process of adding foods much smoother. Additionally, we want to implement a prediction model that will tell you the best foods to eat in order to reach the calorie goal. We also want to better use the Courier API to send push notifications, as we got the backend for the Courier API working, but unfortunately were not able to implement it in our front end due to time.
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