International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 186 - Issue 75 |
Published: March 2025 |
Authors: Palle Prabhas Reddy, Pari Maheshwari, Prarthana Jyothi, Aditya Johnson Stanley, Suresh Jamadagni |
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Palle Prabhas Reddy, Pari Maheshwari, Prarthana Jyothi, Aditya Johnson Stanley, Suresh Jamadagni . StyleBlend: A Comprehensive AI Platform for Virtual Hairstyle Transformation and Personalized Recommendations. International Journal of Computer Applications. 186, 75 (March 2025), 1-8. DOI=10.5120/ijca2025924646
@article{ 10.5120/ijca2025924646, author = { Palle Prabhas Reddy,Pari Maheshwari,Prarthana Jyothi,Aditya Johnson Stanley,Suresh Jamadagni }, title = { StyleBlend: A Comprehensive AI Platform for Virtual Hairstyle Transformation and Personalized Recommendations }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 186 }, number = { 75 }, pages = { 1-8 }, doi = { 10.5120/ijca2025924646 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Palle Prabhas Reddy %A Pari Maheshwari %A Prarthana Jyothi %A Aditya Johnson Stanley %A Suresh Jamadagni %T StyleBlend: A Comprehensive AI Platform for Virtual Hairstyle Transformation and Personalized Recommendations%T %J International Journal of Computer Applications %V 186 %N 75 %P 1-8 %R 10.5120/ijca2025924646 %I Foundation of Computer Science (FCS), NY, USA
The technology behind StyleBlend combines deep learning, image processing, and real-time social media analytics, creating a comprehensive, personalized experience for each user. With its sophisticated AI algorithms and multimodal approach, StyleBlend addresses the common challenges of choosing a hairstyle by considering facial features, personal preferences, and the ever-changing fashion landscape. Whether users are seeking a dramatic change or just want to try out new trends, StyleBlend equips them with the insights and tools necessary to make well-informed hairstyle decisions.