How to Build a Nutrition Tracking App: A Step-by-Step Process
Once you have compiled a list of features you want to implement in your Nutrition app, it’s time to start developing it.
Step #1. Contacting a Software Development Company
The initial stage, without which it is impossible to start development. You leave a request on the mobile app development company. Which is sent directly to the manager. After processing the request, the manager contacts you to discuss the initial details of your project and further cooperation.
If you want to order the development of a nutrition monitoring app, you can contact us. Our team will create a ready-to-launch product for you in the shortest possible time!
Step #2. Analysis of the nutrition app idea
This stage consists of meetings where a business analyst collects information about your business, goals, and the idea of the project. When all the information is collected, the business analyst compiles it into a detailed specification. Which helps to draw up a final project estimate. In addition, UI/UX designers create sketches for each screen of the application.
Step #3. UI/UX design
Once all the wireframes are ready, designers start creating mockups of your app. They combine your goals, requirements, and modern UI/UX methodologies to create a unique look for the app that matches your vision and corporate style.
Step #4. Development Process
The main stage during which the features described on paper turn into a working product.
Step #5. Testing Nutrition app
Without this stage, it is impossible to create a perfect product. QA engineers conduct thorough testing of all functionalities. And if they find errors and bugs, they package them into reports. These reports help developers identify the problem and fix it quickly.
Step #6. Releasing the Nutrition app
The development team makes the final preparations before the release. And when the app is polished, they hand it over to the customer. However, cooperation does not always end there, and the mobile app development company can support the app by implementing new features.
Monetization Nutrition app Models
Now it’s time to discuss how your app can make money. There are several popular options, and you should choose the one that suits you best before you start developing.
Premium Model
The first option is to sell the app for money. Although this is quite risky. Since the diet and nutrition app space is very saturated. So you need to have something that will impress your future customers and make you stand out from the competition. This can be easily done using the following approach: you show what your app can do. And then offer the user to purchase a subscription that will give you even more features for the app.
Free Model with Ads and In-App Purchases
A fairly common monetization model when it comes to developing diet and nutrition apps. Your app is completely free, but users are require to watch ads or make in-app purchases. Various additional features, remove ads, and more from time to time.
Well, it looks like you are now ready to get to work. Remember, if you need someone to bring your ideas to life, mobile app development company are always waiting for your message or call.
HealthKit and Google Health
These two tools are the central repository of health and fitness data on the iOS and Android platforms, respectively. The implementation of these databases is quite useful, as their capabilities allow developers to use features such as:
- Collect and store health and fitness data,
- Analyze and visualize data.
- Extension for Apple Watch and Android Wear
Wearable devices from Apple and Google was design to collaborate with mobile apps. And act as their substitutes when the user is unable to carry a smartphone. In addition to carrying over features from mobile apps. The watch versions can have unique features for such devices, such as a step counter, heart rate, calories burn, and more.
Recipe and Diet Search API
This tool allows you to search a large database of over 2 million recipes. In addition, the API has automatic nutrition analysis on its own Natural Language by Processing (NLP) engine, by web technologies.
