About the Project

Inspiration

The idea for the «Future Baby» app came from the natural human curiosity about family and future generations. Many of us wonder: what will our future children look like? This app was designed to give people a fun and lighthearted way to explore this curiosity. It allows users to predict the future appearance of their baby by merging the facial features of two parents, making use of advanced AI technology.

I was inspired by the growing interest in AI and its application in entertainment and personal experiences. I wanted to build something that would not only utilize the power of AI but also provide an enjoyable and engaging experience for users of all backgrounds.

What I Learned

Building this app was an incredible learning experience in multiple ways:

• Artificial Intelligence: I deepened my understanding of how AI can be used for facial recognition and image generation, leveraging sophisticated models to predict facial features.
• Mobile App Development: From integrating complex algorithms into a user-friendly interface, I expanded my skills in both front-end and back-end development.
• Subscription Management: Implementing subscription models for monetization added a new layer to the project, teaching me how to offer flexible pricing plans while ensuring seamless user experience.
• User Experience (UX) Design: Creating an app that’s not only fun but also easy to navigate was a core focus, pushing me to improve my UX design skills and pay attention to user feedback.

How I Built the Project

The«Future Baby» app was built using a combination of modern technologies:

• AI and Machine Learning: The core functionality relies on AI models that analyze and blend the facial features of two input images. These models were trained using large datasets of faces to ensure accuracy and reliability.
• Mobile Development Framework: The app was developed using Swift for iOS, allowing for smooth interactions and fast processing of images. The backend, which handles the image processing and AI algorithms, was built using Replicate.
• Cloud Infrastructure: To ensure scalability, the image processing tasks are handled by cloud services such as Firebase, allowing the app to efficiently process requests from users all around the world.
• In-App Purchases and Subscriptions: I integrated a subscription model where users can choose between annual and weekly plans using RevenueCat. There is also a free trial available for users who opt for the annual subscription, ensuring that everyone can experience the app before committing to a plan.

Challenges I Faced

Building the «Future Baby» app came with its own set of challenges:

• AI Accuracy: Training the AI model to predict realistic baby faces was a tough task. It required a lot of experimentation with different datasets and models to achieve results that users would find believable and fun.
• Image Processing: Managing large images while maintaining performance and ensuring quick processing times was a technical challenge, especially for mobile devices with varying processing power.
• Subscription Integration: Setting up a smooth subscription system with automatic renewals, free trials, and handling user data securely was a new area of development for me. But RevenueCat significantly significantly simplified the task, and I'm sure that users could easily manage their subscriptions without any friction.

Built With

• combine
• firebase
• replicate
• revenuecat
• swift
• swiftui