Fit Foot : Virtual Try-on AR

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dc.contributor.author Asadullah, 01-134211-013
dc.contributor.author Saad Ahmed, 01-134211-077
dc.date.accessioned 2025-05-13T07:07:26Z
dc.date.available 2025-05-13T07:07:26Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/19517
dc.description Supervised by Mr. Qazi Mohsin Ejaz en_US
dc.description.abstract The retail landscape in Pakistan is shifting towards online platforms, but the footwear industry faces challenges like size accuracy, lack of innovation, and limited online options. FitFoot aims to address these issues by creating an e-commerce platform tailored for Pakistani consumers. Utilizing technologies like augmented reality and deep learning, FitFoot offers features such as virtual try-ons and precise size predictions to enhance the online shopping experience. FitFoot focuses on eliminating the need for physical store visits and resolving confusion from varying size standards. By employing computer vision and foot measurement prediction algorithms, the mobile app offers a seamless and accurate shopping experience. Pre-trained YOLOv5 models and Blender-generated 3D shoe models ensure realistic virtual try-ons, pushing the boundaries of footwear retail innovation in Pakistan. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(CS);P-02284
dc.subject Fit Foot en_US
dc.subject Virtual en_US
dc.subject Try-on AR en_US
dc.title Fit Foot : Virtual Try-on AR en_US
dc.type Project Reports en_US


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