ML - based Face Morphing & Age Progression Application for a Leading Biopharma Company

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CitiusTech put together a team of domain-experts, data scientists, mobile developers, QA specialists and AI engineers to develop a mobile application and integrate it with back-end services using Machine Learning (ML) APIs. The team utilized public data-sets with clustering-based ML algorithms and statistical concepts for wrinkle measurement, pre-trained models for facial landmark detection, and GAN based models for age progression functionality.

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Case Study ML - Based Age Progression Application

Case Study Digital Image Processing for Facial Morphing Application

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ML - based Face Morphing & Age Progression Application for a Leading Biopharma Company

ML - based Face Morphing & Age Progression Application for a Leading Biopharma Company

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