This project aims to develop an innovative web application to market a customizable running shoe. The app will utilize computer vision, machine learning, and adaptive questionnaires to determine each user's optimal shoe size and gait characteristics. A foot scanner using the front-facing camera will measure foot dimensions to ensure proper fit. Users will also complete an intelligent health survey and upload a short video of their gait for analysis. Powerful AI models will integrate this multi-dimensional user data to customize the shoe's support for pronation and supination on an individual basis. The app will additionally facilitate direct e-commerce functions for purchasing customized pairs. An engaging mobile-first design focusing on usability and data privacy will optimize the user experience. Potential freelance candidates should have proven experience developing full-stack projects, with an emphasis on front-end skills like React and backend abilities in Python frameworks. Proficiency in computer vision, deep learning, and a cloud infrastructure is desired for training models and processing multimedia assets at scale. Overall, this project aims to leverage cutting-edge technologies to deliver personalized running gear and aftercare through a hassle-free digital platform.
