Key Insights: Built a facial ageing system using GANs to alter age while preserving identity, leading to a 13% increase in saving patterns when applied in a financial app.

About the Client

Change My Face is a UK-based company specializing in face age technology for health, finance, and skincare markets. Their client list includes major private and public organizations such as Netflix, Lexus, HSBC, NHS, The University of Manchester, and The Scottish Government.

The Challenge

The client needed to create images that realistically age a person while preserving their identity, similar to the capabilities of FakeApp. This technology would be used in health prevention campaigns to visually demonstrate the long-term effects of different lifestyle choices.

The solution had to be scalable, fast, and cost-efficient to support wide adoption.

Marvik’s Approach

Building on advancements from companies like NVIDIA, we implemented a facial ageing system based on Generative Adversarial Networks (GANs) and state-of-the-art research.

Key steps included:

• Designing a pipeline that receives a person’s photo and alters their age while preserving facial identity.
  
  
• Optimizing the system for minimal processing time while keeping cloud costs low.
  
  
• Deploying a production-ready, scalable solution using Python, TensorFlow, PyTorch, Docker, and AWS.
  

The Results & Impact

• Delivered realistic, identity-preserving age transformations.
  
  
• Enabled integration into a financial app that showed users how their future selves might look based on their saving habits.
  
  
• Increased saving patterns by 13% through the combination of visualizations and financial messaging.
  

Why This Matters

By making future health and financial outcomes visible, this technology creates an emotional connection that drives behavioral change, proving that AI-powered visualization can influence real-world decision-making.